50+ Remote Data Analytics Jobs in India

● Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer.

● Candidate must have Coding experience in Python.

● Candidate should have Good Experience with ML models and ML algorithms.

● Need Experience with statistical modelling of large data sets.

● Looking for Immediate joiners or max. 30 days of Notice Period candidates.

● The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered.

What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations

Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python

Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning

Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID).

Real-World Evidence (RWE) Analyst

Summary:

As an experienced Real-World Evidence (RWE) Analyst, you will leverage our cutting-edge healthcare data platform (accessing over 60 million lives in Asia, with ambitious growth plans across Africa and the Middle East) to deliver impactful clinical insights to our pharmaceutical clients. You will be involved in the full project lifecycle, from designing analyses to execution and delivery, within our agile data science team. This is an exciting opportunity to contribute significantly to a growing early-stage company focused on improving precision medicine and optimizing patient care for diverse populations.

Responsibilities:

·      Contribute to the design and execution of retrospective and prospective real-world research, including epidemiological and patient outcomes studies.

·      Actively participate in problem-solving discussions by clearly defining issues and proposing effective solutions.

·      Manage the day-to-day progress of assigned workstreams, ensuring seamless collaboration with the data engineering team on analytical requests.

·      Provide timely and clear updates on project status to management and leadership.

·      Conduct in-depth quantitative and qualitative analyses, driven by project objectives and your intellectual curiosity.

·      Ensure the quality and accuracy of analytical outputs, and contextualize findings by reviewing relevant published research.

·      Synthesize complex findings into clear and compelling presentations and written reports (e.g., slides, documents).

·      Contribute to the development of standards and best practices for future RWE analyses.

Requirements:

·      Undergraduate or post-graduate degree (MS or PhD preferred) in a quantitative analytical discipline such as Epidemiology, (Bio)statistics, Data Science, Engineering, Econometrics, or Operations Research.

·      8+ years of relevant work experience demonstrating:

o  Strong analytical and problem-solving capabilities.

o  Experience conducting research relevant to the pharmaceutical/biotech industry.

·      Proficiency in technical skills including SQL and at least one programming language (R, Python, or similar).

·      Solid understanding of the healthcare/medical and pharmaceutical industries.

·      Proven experience in managing workstream or project management activities.

·      Excellent written and verbal communication, and strong interpersonal skills with the ability to build collaborative partnerships.

·      Exceptional attention to detail.

·      Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Other Desirable Skills:

·      Demonstrated dedication to teamwork and the ability to collaborate effectively across different functions.

·      A strong desire to contribute to the growth and development of the RWE analytics function.

·      A proactive and innovative mindset with an entrepreneurial spirit, eager to take on a key role in a dynamic, growing company.

Position Overview: We are looking for an experienced and highly skilled Data Architect to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a Data Architect, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

Customer Collaboration:

• Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

• Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.
• 
  

Data Modeling & Integration:

• Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.
• Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.
• Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems
• 
  

Data Processing & Optimization:

• Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.
• Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.
• 
  

Data Governance & Security:

• Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).
• Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.
• 
  

Cross-Functional Collaboration:

• Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

• Foster collaboration across teams to streamline data workflows and optimize solution delivery.
• 
  

Leveraging Advanced Technologies:

• Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide
• smart, data-driven solutions to business challenges.
• Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.
• 
  

Cost Optimization:

• Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.
• Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.
• 
  

Qualifications:

Experience:

• Proven experience (5+ years) as a Data Architect or similar role, designing and implementing data solutions at scale.
• Strong expertise in data modelling, data integration (ETL), and data transformation processes.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• 
  

Technical Skills:

• Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache
• NiFi, Talend).
• Strong understanding of data security protocols, privacy regulations, and compliance requirements.
• Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).
• 
  

AI & Machine Learning Exposure:

• Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.
• Ability to apply advanced algorithms and automation techniques to improve business processes.
• 
  

 Soft Skills:

• Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.
• Strong problem-solving ability with a customer-centric approach to solution design.
• Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.
• 
  

Education:

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

We are seeking a highly motivated and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will be a strategic thinker with a strong analytical background, capable of transforming complex data into actionable insights. You will play a crucial role in driving data-informed decisions across the organization, collaborating with various stakeholders to improve business performance.

Responsibilities:

• Data Analysis & Interpretation:
• Analyze large datasets to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).   
• Interpret data and provide actionable insights to stakeholders.
• Conduct in-depth analysis to support strategic initiatives and business decisions.
• Data Management & Infrastructure:
• Ensure data accuracy and integrity through data validation and cleansing.
• Collaborate with data engineers to optimize data pipelines and infrastructure.
• Develop and maintain data documentation and data dictionaries.
• Work with databases and data warehouses, including SQL querying.
• Reporting & Visualization:
• Design and develop interactive dashboards and visualizations using tools like Tableau, Power BI, or similar.
• Create clear and concise reports for executive management and other stakeholders.
• Automate reporting processes to improve efficiency.
• Statistical Analysis & Modeling:
• Apply statistical methods and techniques to analyze data and draw meaningful conclusions.
• Develop predictive models and perform forecasting to support business planning.
• Conduct A/B testing and other experiments to evaluate the effectiveness of initiatives.

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage advanced statistical and machine learning techniques to extract actionable insights from complex datasets, driving strategic business decisions and product development. You will work closely with cross-functional teams, including engineers, product managers, and business stakeholders, to solve challenging problems and contribute to our data-driven culture.

Responsibilities:

• Data Analysis & Modeling:
• Develop and implement advanced statistical models, machine learning algorithms, and deep learning techniques to solve complex business problems.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in large datasets.
• Build and evaluate predictive models for forecasting, classification, and regression tasks.
• Utilize statistical hypothesis testing and A/B testing to validate hypotheses and measure the impact of changes.
• Data Engineering & Management:
• Collaborate with data engineers to ensure data quality, integrity, and accessibility.
• Extract, transform, and load (ETL) data from various sources into usable formats.
• Develop and maintain data pipelines for efficient data processing and analysis.
• Work with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Communication & Visualization:
• Communicate complex data insights and findings to technical and non-technical audiences through clear visualizations and reports.

We are seeking a highly motivated and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to provide actionable insights that drive business decisions. You will work closely with various departments to understand their data needs and translate them into meaningful reports and visualizations.   

Responsibilities:

• Collect and process data from various sources, including databases, spreadsheets, and APIs.
• Clean, validate, and transform data to ensure accuracy and consistency.
• Develop and maintain databases and data systems.
• Perform statistical analysis to identify trends, patterns, and correlations.
• Create and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Collaborate with cross-functional teams to understand business requirements and
• provide data-driven solutions.   

Key Responsibilities:

• Data Collection and Preparation:
• Gathering data from various sources (databases, APIs, files).
• Cleaning and preprocessing data (handling missing values, outliers, inconsistencies).
• Transforming data into a suitable format for analysis.
• Data Analysis:
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Applying statistical techniques and machine learning algorithms.
• Creating data visualizations (charts, graphs) to communicate findings.
• Model Development and Evaluation:
• Assisting in the development and training of machine learning models.
• Evaluating model performance using appropriate metrics.
• Contributing to model tuning and optimization.

We are seeking a highly motivated and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will be responsible for extracting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategy and improve operational efficiency. You will play a crucial role in transforming raw data into meaningful information, enabling stakeholders to make informed decisions.

Responsibilities:

• Data Extraction and Manipulation:
• Extract data from various sources (databases, APIs, cloud platforms, etc.) using SQL, Python, or other relevant tools.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Conduct in-depth statistical analysis to identify trends, patterns, and anomalies.
• Develop and implement predictive models and algorithms to forecast future outcomes.
• Create insightful visualizations and dashboards using tools like Tableau, Power BI, or Looker to communicate findings effectively.
• Perform A/B Testing, and other experimental design analysis.
• Reporting and Communication:
• Prepare and present comprehensive reports and presentations to stakeholders at all levels.
• Translate complex data findings into clear and concise recommendations.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.

We are looking for a motivated Junior Data Scientist to join our data science team. The ideal candidate will have a passion for analyzing data, building predictive models, and extracting actionable insights to solve business challenges. You will work with senior data scientists and cross-functional teams to develop data-driven solutions and contribute to the organization’s decision-making processes.

Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in large datasets.
• Develop and implement machine learning models to solve business problems, such as classification, regression, or clustering tasks.
• Collaborate with senior data scientists to design experiments, evaluate models, and refine predictive algorithms.
• Conduct statistical analysis and hypothesis testing to validate model assumptions and results.
• Visualize and communicate insights from data analysis in a clear and actionable manner using data visualization tools (e.g., Matplotlib, Tableau, Power BI).
• Support the team in deploying machine learning models into production and maintaining them.
• Stay up-to-date with the latest data science trends, tools, and techniques to contribute to continuous improvement.

Responsibilities:

• Data Collection and Preparation:
• Gather data from various sources, including databases, spreadsheets, and APIs.
• Clean, validate, and transform data to ensure accuracy and consistency.
• Develop and maintain data pipelines for efficient data processing.
• Data Analysis and Interpretation:
• Analyze large datasets to identify trends, patterns, and correlations.
• Perform statistical analysis and hypothesis testing to validate findings.
• Develop and implement data models and algorithms to support analysis.
• Create visualizations and reports to communicate insights to stakeholders.
• Reporting and Communication:
• Prepare and present data-driven reports and dashboards to communicate findings.
• Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.   
• Clearly articulate complex data insights to non-technical audiences.
• Database Management:
• Assist in the design and maintenance of databases.
• Write and optimize SQL queries for data retrieval and manipulation.

Machine Learning and Predictive Modeling:

• Developing and implementing machine learning models for prediction, classification, and clustering.
• Selecting appropriate algorithms and techniques based on the problem and data.
• Evaluating model performance and optimizing for accuracy.

Data Visualization and Communication:

• Creating clear and concise visualizations to communicate insights to stakeholders.
• Presenting findings and recommendations to both technical and non-technical audiences.
• Translating complex data into actionable business strategies.

Collaboration and Problem-Solving:

• Working closely with cross-functional teams to understand business needs.
• Identifying and solving complex business problems using data-driven approaches.
• Staying up-to-date with the latest advancements in data science and machine learning.

Data Analysis and Interpretation:

• Analyze data using statistical methods and tools (e.g., SQL, Python, R).
• Identify trends, patterns, and correlations in complex datasets.
• Perform exploratory data analysis to uncover insights.
• Conduct hypothesis testing and statistical analysis.

Data Visualization and Reporting:

• Create visually appealing and informative reports and dashboards.
• Use data visualization tools (e.g., Tableau, Power BI) to present findings.
• Communicate insights and recommendations to stakeholders in a clear and concise manner.
• Prepare reports for internal or external audiences using business analytics reporting tools containing graphs, charts, and other visual aids.

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

Data Collection and Preparation:

• Gathering data from various sources, including databases, APIs, and files.
• Cleaning, transforming, and pre-processing data to ensure quality and consistency.
• Developing and maintaining data pipelines.

Data Analysis and Modeling:

• Conducting exploratory data analysis (EDA) to identify patterns and trends.
• Developing and implementing statistical models and machine learning algorithms.
• Evaluating model performance and fine-tuning parameters.

Data Visualization and Communication:

• Creating visualizations (charts, graphs, dashboards) to communicate insights effectively.
• Presenting findings to stakeholders, including non-technical audiences.
• Translating data-driven insights into actionable recommendations.

Problem Solving and Business Understanding:

• Identifying business problems that can be addressed with data analysis.
• Working with stakeholders to define project goals and requirements.
• Applying data science techniques to solve real-world business challenges.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

About the Role

We are seeking an experienced and customer-focused Product Manager to join our team. In this role, you will be responsible for defining and executing the product vision, strategy, and roadmap. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative solutions that solve customer pain points and align with our business objectives.

Key Responsibilities

Product Strategy and Vision

• Define and communicate a clear product vision and strategy.
• Align product goals with business objectives and customer needs.
• Conduct market research to identify trends, opportunities, and competitive positioning.

Roadmap and Prioritization

• Develop and maintain a product roadmap that balances short-term deliverables with long-term goals.
• Use prioritization frameworks (e.g., RICE, MoSCoW) to evaluate and prioritize product features.

Customer-Centric Development

• Gather and analyze user feedback through interviews, surveys, and data analytics.
• Advocate for the customer by translating their needs into actionable requirements.

Cross-Functional Collaboration

• Work with engineering teams to define and deliver high-quality, scalable products.
• Partner with designers to create user-friendly interfaces and experiences.
• Collaborate with marketing and sales teams to ensure successful product launches and adoption.

Data-Driven Decision Making

• Define and track key performance indicators (KPIs) to measure product success.
• Leverage analytics tools (e.g., Mixpanel, Google Analytics) to identify trends and optimize performance.

Agile Product Development

• Manage the product backlog and sprint planning in Agile or Scrum environments.
• Drive continuous improvement through iterative product releases.

Qualifications

Must-Have:

• 3–5 years of experience in product management or a related field.
• Proven ability to define and execute product strategies that achieve business goals.
• Strong communication and stakeholder management skills.
• Experience working with Agile development teams.
• Proficiency with product management tools (e.g., Jira, Trello, Asana) and analytics platforms (e.g., Mixpanel, Google Analytics).

Nice-to-Have:

• Familiarity with technical concepts (e.g., APIs, databases, or system architecture).
• Experience in [SaaS, B2B, Recruitment].
• Basic understanding of UX design principles and tools (e.g., Figma, Miro).
• Exposure to A/B testing and data-driven optimization techniques.

We are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.

• Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
• Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
• Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
• Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
• Training: Completion of professional training programs in AI, machine learning, or data science.
• Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
• Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.

• A genuine interest in the evolving landscape of AI technologies.
• Willingness to learn and adapt in a fast-paced environment.
• Excellent communication skills for effective collaboration within teams.

This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!

Namskaram

Senior Product Analyst

Context:

We are looking for a Senior Product Analyst with experience in mobile App analytics, who is passionate about building digital products that can put yoga and meditation from a realized master in the hands of 7 billion people on the planet.

You will join a small and evolving team that is passionate about realizing Sadhguru’s vision and at the same time is also committed towards their own personal growth. You will be hands-on and at the same time get an opportunity to define, and lead the analytics practice, and to shape up the future of the digital products at Isha.

Responsibilities:

●     Data analysis and solution building based on insights captured from data.

●     Responsible for giving insights to management and help in strategic planning.

●     Structure concise reports with insights supported by solid analytics and logical thinking.

●     Cross-team projects and streamlining of the process.

●     The root cause Analysis of problems and suggesting improvements to product/ops based on insights.

●     Effectively working with complex data sets with minimal guidance, including cleaning and wrangling data to quickly unearth insights and trends and effectively communicating these to leadership through appropriate data summaries, visualizations and narratives.

●     Answer business questions and provide recommendations through a combination of

●     Descriptive, inquisitive and prescriptive analytics.

Requirements:

●     Strong 3-5 year experience in analytics.

●     Experience in working on analytics for a mobile App.

●     Proficiency in SQL, Excel and at least one visualization tool like tableau or qlikview.

●     Demonstrated ability of solving complex problems and attention to detail.

●     Demonstrated ability of work independently with stakeholders and cross functional teams, preferably in a startup environment.

●     Exposure to a statistical or analytical language such as R or Python.

●     Exposure to ML algorithms and modeling techniques.

●     Open to remote working.

Thirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.

Responsibilities

Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.

Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.

Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.

Conduct quality checks on datasets to identify and rectify errors or inconsistencies.

Support the development of documentation and guidelines for data annotation processes.

Stay updated with the latest tools and techniques in data processing and machine learning.

Skills and Qualifications

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.

Basic understanding of machine learning concepts and the importance of high-quality datasets.

Familiarity with programming languages such as Python or R is a plus.

Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.

Strong analytical skills and attention to detail.

Excellent communication and teamwork abilities.

A passion for learning and a desire to grow in the field of data engineering.

Preferred Location

Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. In this role, you will be responsible for analyzing complex datasets, generating actionable insights, and supporting strategic decision-making processes. You will collaborate with cross-functional teams, develop data models, and create compelling reports and visualizations to communicate findings effectively.

Key Responsibilities:

• Data Analysis: Perform in-depth analysis of large datasets to identify trends, patterns, and correlations. Utilize statistical methods and data mining techniques to extract actionable insights.
• Reporting & Visualization: Develop and deliver comprehensive reports and interactive dashboards that effectively communicate data insights and business performance to stakeholders.
• Data Modeling: Build and maintain data models that support business operations and decision-making processes. Conduct data validation and ensure accuracy and consistency.
• Business Intelligence: Collaborate with business leaders and teams to understand their data needs and translate them into analytical requirements. Provide data-driven recommendations to support strategic initiatives.

*Job Title:** Data Analyst

**Location:** Permanent Work from Home

**Job Type:** Full-Time

**Job Description:**

We are seeking a highly motivated and skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, incident management, and real-time data reporting. The role demands exceptional communication skills, both written and spoken, as well as the ability to work flexible shifts to support our global operations.

**Key Responsibilities:**

- Perform data analysis to identify trends, anomalies, and insights.

- Manage and resolve incidents effectively using tools like Jira and Slack.

- Conduct real-time data analysis and reporting to support business decisions.

- Generate comprehensive reports and dashboards to visualize data findings.

- Collaborate with cross-functional teams to ensure data integrity and accuracy.

- Communicate findings and recommendations clearly and concisely to stakeholders.

- Flexibility to work in different time zones as required.

**Required Qualifications:**

- Bachelor’s degree in Computer Science or a related field.

- Proven experience in data analysis and incident management.

- Proficiency in using Jira and Slack for communication and incident tracking.

- Strong skills in real-time data analysis and reporting.

- Exceptional communication skills in English, both written and spoken.

- Ability to work flexible shifts to accommodate global operations.

**Preferred Qualifications:**

- Experience with Python and automation tools is a plus.

**Work Environment Requirements:**

- Must have a reliable laptop/computer and home-based infrastructure, including high-speed WiFi and power backup.

- Ability to work effectively in a remote environment with minimal supervision.

**Benefits:**

- Permanent work-from-home opportunity.

- Flexible working hours.

- Opportunity to work with a dynamic and diverse team.

If you meet the above qualifications and are eager to contribute to a fast-paced and innovative team, we encourage you to apply.

Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

About the Role

We are actively seeking talented Senior Python Developers to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and who aspire to be at the forefront of AI advancements. You will work with different companies in the US who are looking to develop both commercial and research AI solutions.

Required Skills:

• Write effective Python code to tackle complex issues
• Use business sense and analytical abilities to glean valuable insights from public databases 
• Clearly express the reasoning and logic when writing code in Jupyter notebooks or other suitable mediums
• Extensive experience working with Python 
• Proficiency with the language's syntax and conventions
• Previous experience tackling algorithmic problems
• Nice to have some prior Software Quality Assurance and Test Planning experience
• Excellent spoken and written English communication skills

The ideal candidates should be able to

• Clearly explain their strategies for problem-solving.
• Design practical solutions in code.
• Develop test cases to validate their solutions.
• Debug and refine their solutions for improvement.

Role - Senior Analytics Executive

Experience - 1-2 years

Location - Open (Remote working option available)

About Company :-

Our team is made up of best in class digital, offline, and integrated media experts who work together to enhance media's contribution to Google's business. Our team operates in a seamlessly integrated way across strategy, planning, investment, creative, business sciences and analytics, data and technology. The profile of people who work are world class, committed to establishing a new high water mark in the media industry.

About the role/ Some of the things we'd like you to do:

- Support the Analytics team and other stakeholders with analytics agendas impacting campaigns, measurement frameworks, and campaign optimization.

- Conduct thorough data analysis using various tools and software within MFG to provide insights and recommendations that align with client needs.

- Collaborate with internal stakeholders across disciplines and countries to understand client objectives, providing support and expertise in data and analytics while identifying opportunities for advanced analytics solutions.

- Formulate strategic recommendations with the team based on gathered insights, and support the delivery of reporting for clients.

- Continuously improve project performance and processes by collaborating with the team to develop new tools and solutions.

About yourself/ Requirements:

- Bachelor's degree in a related quantitative field (e.g. Statistics, Business Analytics, Economics, Computer Science, etc.)

- 1-2 years of relevant work experience in data analysis; digital media experience desired

- Strong knowledge of various data analysis tools and software (e.g., Excel, SQL, R, Python, Tableau).

- Is proficient in statistical principles and how they apply to tasks/work items.

- Excellent problem-solving skills and the ability to analyze complex data sets.

- Strong communication and interpersonal skills, with the ability to present data-driven insights to both technical and non-technical audiences.

- Ability to work independently and as part of a team, with strong collaboration skills.

- Demonstrated ability to manage multiple projects and prioritize tasks effectively.

- Passion tor continuous learning and staying current with industry trends and best practices in analytics.

• Consolidating daily reporting from different advertiser dashboards
• Monitoring discrepancy between advertiser and publisher numbers
• Maintaining month-end consolidated reports for Publishers and Advertisers
• Perform ad trafficking, ensuring accurate implementation of creative assets, tracking codes, and targeting specifications.
• Monitor campaign performance, analyze data, and provide actionable insights to improve campaign effectiveness and optimize ROI.
• Collaborate with cross-functional teams to ensure campaigns are executed according to client objectives and deadlines.
• Stay up-to-date with industry trends, ad tech developments, and best practices to enhance campaign strategies.

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

Job Responsibilities: 

• Identify valuable data sources and automate collection processes 
• Undertake preprocessing of structured and unstructured data. 
• Analyze large amounts of information to discover trends and patterns 
• Helping develop reports and analysis. 
• Present information using data visualization techniques. 

• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. 
• Evaluating changes and updates to source production systems. 
• Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks 
• Providing technical expertise in data storage structures, data mining, and data cleansing. 
• Propose solutions and strategies to business challenges 

Desired Skills and Experience: 

• At least 1 year of experience in Data Analysis 
• Complete understanding of Operations Research, Data Modelling, ML, and AI concepts. 

• Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset 
• Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop) 
• Analytical mind and business acumen 
• Strong math skills (e.g. statistics, algebra) 
• Problem-solving aptitude 

• Excellent communication and presentation skills. 
• Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred  

Job Title: HR Data Analyst  

Reports To: HR Business Partner

Duties

• Collect and compile HR metrics and data from the global HR team using internal SharePoint site as well as Excel files from local HRIS systems
• Analyze data on a monthly, quarterly, and annual basis regarding recruitment and attrition
• Prepare data reports using Excel and Power Point
• Ensure data integrity by identifying issues and fixing errors either in SharePoint or local HRIS system
• Track recruitment costs on a regional and global basis
• Work closely with Finance team to monitor global recruitment budget costs and new hire/attrition pipeline
• Lead HR data projects, such as data review/audit and mass data changes
• Assist HR team with various data projects, as requested

Required Skills

• Intermediate Microsoft Office skills, including Excel, Power Point and Word
• Strong attention to detail
• Excellent verbal and written communication skills
• Ability to build strong working relationships across different locations and departments
• Strong analytics and problem solving – able to identify anomalies in data and follow up to find an explanation as to why
• Must maintain confidentiality
• Familiarity with Power BI is preferred

Experience

• 8 to 12 years’ experience with data analysis, either in the finance, accounting or HR field
• Bachelor’s degree in any field is preferred

Required Skills:

• Proven work experience as an Enterprise / Data / Analytics Architect - Data Platform in HANA XSA, XS, Data Intelligence and SDI
• Can work on new and existing architecture decision in HANA XSA, XS, Data Intelligence and SDI
• Well versed with data architecture principles, software / web application design, API design, UI / UX capabilities, XSA / Cloud foundry architecture
• In-depth understand of database structure (HANA in-memory) principles.
• In-depth understand of ETL solutions and data integration strategy.
• Excellent knowledge of Software and Application design, API, XSA, and microservices concepts

Roles & Responsibilities:

• Advise and ensure compliance of the defined Data Architecture principle.
• Identifies new technologies update and development tools including new release/upgrade/patch as required. 
• Analyzes technical risks and advises on risk mitigation strategy.
• Advise and ensures compliance to existing and development required data and reporting standard including naming convention.

The time window is ideally AEST (8 am till 5 pm) which means starting at 3:30 am IST. We understand it can be very early for an SME supporting from India. Hence, we can consider the candidates who can support from at least 7 am IST (earlier is possible).

Job profile: Product Manager

The ideal candidate is an analytical team player who will be responsible for leading a team of high performing individuals who own the entire product lifecycle from strategy to evaluation. You will also work cross-functionally to complete product roadmaps and discover new opportunities. 

Responsibilities:

• Create business models and analyse competitive landscape.
• Develop and monitor data-driven analytics.
• Mentor employees to help them achieve individual & team objectives.
• Work with the lead product manager, key stakeholders and a cross-functional team to assist with new product releases, including product launch deliverables.
• Work with sales and partners to strengthen offerings.
• Define the product requirements and manage aspects of the offering roadmap.
• Develop and coordinate enablement assets for sales and partners.
• Work with industry analysts, partners, and customers to gather and validate market requirements, understand pain points, address RFEs, and evangelizing the product roadmap and vision.

Qualifications:

• Bachelor's degree or equivalent 3+ years of experience in Product Management, Engineering, or Consulting.
• Strong written, verbal and collaboration skills.

Key Responsibilities:

• Creating and implementing efficient solutions to optimize the customer journey and experience
• Solid experience with customer journey mapping, process optimization, and process improvement
• Owning product implementation and contributing recommendations on product roadmap
• Defines the product vision, strategy, and roadmap.
• Monitor all projects and ensure achievement of all revenue objectives
• Achieve all business objectives and determine an effective strategy
• Coordinate internal resources and third parties/vendors for the flawless execution of projects
• Manage changes to the project scope, project schedule and project costs using appropriate verification techniques
• Measure project performance using appropriate tools and techniques
• Report and escalate to management as needed
• Track project performance, specifically to analyze the successful completion of short and long-term goals
• Campaign Management

Educational Requirements:

• 3+ years’ experience in the FinTech, product / project management
• Education: B Tech (Bachelor of Technology)

Skills:

• Strategy and Planning: Proficient in developing & implementing need-based plans
• Campaign Management
•  
• Excellent organizational and data analysis skills; ability to derive actionable conclusions from
• large data sets and statistical studies
• Maximizing profitability, Client Engagement, Revenue
• Products/promotions / discounts/ Cashback offers for B2C
• Customer Life Cycle Management
• Understanding the product Life cycle and sympathy towards customer pain points
• Works closely with stakeholders to ensure business case and customer satisfaction goals are met
• Measure project performance using appropriate tools and techniques
• Excellent communication and writing skills
• Team player

TECHNICAL SKILLS

• Computer Languages: Data Structure, Algorithms, DBMS (Conceptual), SQL DBA
• Software Packages: CleverTap (Mobile App Analytics Tool), MS office - Excel, PPT, Visio

Platform - Clevertap, Netcore

Position description:

• Understand business needs and apply analytical concepts on customer data to provide business solutions
• Seek out opportunities for optimizing digital products (App) and improve the performance of campaigns
• Analyze business data and draw inferences
• Provide analysis based on business objectives and initiatives
• Analyzing Mobile App traffic using clickstream tools 
• Provide holistic analysis by combining data from different data sources (App Analytics, Business data, etc.)
• Responsible for analysis, development plans, timely communication, on-time delivery of projects, and quality of project deliverables
• provide recommendations to update current MIS to improve reporting efficiency and consistency

Primary Responsibilities:

• Perform business and product analytics, using BI, SQL, Excel, and data analytics, etc.

Required Skills:

• Must be able to draw conclusions from data and present those to internal and external stakeholders
• Knowledge of Excel and SQL
• Knowledge of Tableau or other Business Intelligence tools would be an added advantage
• Experience in BFSI segment preferred
• Knowledge of marketing campaigns is a plus
• Experience in creating custom reports & dashboards
• Problem-solving skills.
• A methodical and logical approach.
• Accuracy and attention to detail

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive asks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Excel
• Scrapping
• Medium Communication Skill (Spoken and written)
• SaaS industries knowledge
• Add Product
• Check Dodontdo
• Scrapping
• Work on Support Tickets (Resolve customers issue)

Who We are?

At e6data (https://e6x.io/" target="_blank">https://e6data.io) we’re building core algorithms that make querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on computing/infra, and new use cases become possible.

Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real-time databases, time-series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second-time founders with past exits.

We are passionate about solving the deepest and most important problems in computer science and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end-user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real-time).

What you will do?

• Write awesome code
• Your primary focus will be on building our product around our core algorithms. You will collaborate with our Performance Engineering and DevOps teams.
• Identify tactical and long-term product improvements (could be code, script, etc.) so that e6data development is based on frictionless onboarding of customers
• Build our internal Data Platform using e6data
• Adding scalable functionality to the core e6data engine for new features like UDFs, SQL functions, etc

What we are looking for?

• Worked with Java for a minimum of 4 years
• Knowledge of SQL Query planning will also be good to have
• A passion for continuous learning and growth (both at a personal and team level)
• Strong team player
• Experience (or enjoys) working in a startup will be an added advantag

About LambdaTest

We are the only cloud-based testing platform aimed at bringing the whole testing ecosystem to cloud. Today we have a powerful cloud network of 2000+ real browsers and operating systems that helps testers in cross-browser and cross platform compatibility testing.

On a mission to provide the most powerful, cutting-edge, comprehensive, and secure cloud test platform to empower software testers & developers globally to perform testing intelligently at scale.

We envision an integrated platform where professionals can rely to perform and manage all types of tests without being limited by infrastructure dependency. So people could focus on things that matter the most, i.e. their tests.

We are a dynamic team that works in a fast-paced environment, ambitious to make a huge impact. Aligned with the company’s vision and strategy, the cross-functional teams work closely to build cutting-edge SaaS products that enable software developers & testers globally to perform testing intelligently at scale. Default to transparency, we share stories of our successes, failures, challenges, and interests so that we can learn from and support one another.

About Mudrantar Solutions Private Limited 

Mudrantar Solutions Pvt. Ltd. is a wholly owned subsidiary of the US based startup, Mudrantar Corporation. Mudrantar is a well-funded startup focused on disruptive changes in the Accounting Software for Small, Medium as well as Large businesses in India. Our state-of-the-art OCR + Machine Learning Technology allows customers to simply take photos and our software does the rest of the heavy lifting. Our strategy for CAs, CS and Tax Practitioners is realized through web access for our customers to manage their practice and also manage client communication through freely available mobile app. We also offer data entry automation services through AI/ML platform. 

Product Manager 

As a Product Engineering Manager in the SaaS industry, you will use your unique blend of business and technical savvy to create product strategies that solve user challenges to drive revenue growth via increased adoption and retention. This role is responsible for driving Mudrantar’s SaaS roadmap towards building a scalable, intelligent and modular Practice Management System to increase profitability and productivity for our customers. 

Our products, MScan and DocBins are already being used by Practice Professionals in India as well as USA. If you are interested in building the next big thing, creating a global impact on millions of users, have a passion for making data work for you, and want to own a product in the near future, this is the place for you. From a career growth perspective, there are few better product organizations to be in, where you will be able to work, learn, and grow at this pace.  

Position 

• Full time employment 

Location 

• Any location in India 

Requirements 

• Develop and lead the product vision and strategy for Mudrantar SaaS Product 
• Understand the jobs to be done for the product, synthesize those needs to shape the product roadmap for a suite of products & services, and define key metrics 
• Strategically assess new opportunities and develop alignment around these 
• Collaborate and build executive alignment for your vision 

• Foster a community of data-informed decision making 
• Provide hands-on leadership for teams consisting of top-notch engineers and Managers 
• Create clear career paths for team members and help them grow with regular and deep mentoring. 
• Perform regular performance evaluation and share and seek feedback. 

Who will be ideal for this role? 

• 3+ years of work experience in the SaaS Product Management team and can translate product strategy into detailed requirements and prototypes. 
• Love candidates having First Principles Thinking, Bias for Action, & Strong opinions, loosely held. 
• Customer Obsessed: Gain deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth 

• Impact-driven: Ability to work with engineers and designers to deliver key results. 
• Follows Ship now, Perfect later: iterative development principles and practices, including breaking large product goals into small, achievable slices for early and frequent delivery. 

Nice to have 

• Bachelor's Degree and/or equivalent Computer Science course 
• 3+ years programming experience with exposure to Python, NodeJS, VueJS, ExpressJS 

• Demonstrable track record of SaaS product Development and Team Management 
• Strong written and verbal communication skills 

What we offer: 

• Opportunity to work in a Fast-growing Start-Up with lucrative compensation benefits 
• Working directly with the leaders; having high level of work independence, autonomy and empowerment to lead company-wide changes 

• Work with a market dominating technology 
• Being part of a start-up from an early stage, lead your area of expertise and be a part of this exciting growth journey 
• Excellent opportunity for learning how to build teams, achieve goals and handle high growth situations. Ideal for people with entrepreneurial ambitions 

Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 5+ years of hands-on demonstrable experience with:
  ▪ Data Analysis & Data Modeling
  ▪ Database Design & Implementation
  ▪ Database Performance Tuning & Optimization
  ▪ PL/pgSQL & SQL

• 5+ years of hands-on development experience in Relational Database (PostgreSQL/SQL Server/Oracle).

• 5+ years of hands-on development experience in SQL, PL/PgSQL, including stored procedures, functions, triggers, and views.

• Hands-on experience with demonstrable working experience in Database Design Principles, SQL Query Optimization Techniques, Index Management, Integrity Checks, Statistics, and Isolation levels

• Hands-on experience with demonstrable working experience in Database Read & Write Performance Tuning & Optimization.

• Knowledge and Experience working in Domain Driven Design (DDD) Concepts, Object Oriented Programming System (OOPS) Concepts, Cloud Architecture Concepts, NoSQL Database Concepts are added values

• Knowledge and working experience in Oil & Gas, Financial, & Automotive Domains is a plus

• Hands-on development experience in one or more NoSQL data stores such as Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc. a plus.

• Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
• At least 1 Data Query language – SQL/Python
• Experience in creating breakthrough visualizations
• Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must

Responsibilities: 

• Improve robustness of Leena AI current NLP stack 
• Increase zero shot learning capability of Leena AI current NLP stack 
• Opportunity to add/build new NLP architectures based on requirements 
• Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy 
• Manage a NLP team 

Page BreakRequirements: 

• Strong understanding of linear algebra, optimisation, probability, statistics 
• Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation 
• Experience in deploying NLP architectures in production 
• Understanding of latest NLP architectures like transformers is good to have 
• Experience in adversarial attacks/robustness of DNN is good to have 
• Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch. 

As a Manager in our Performance Marketing team, you will be responsible for driving growth of APAC & North America regions through digital marketing. This team is a key driver of growth for Headout and is responsible for acquiring customers and generating demand for our vast collection of experiences and destinations. This is a key role for our overall company growth and profitability. 

As Performance Marketing Manager, you will: 

1. 1. Manage all paid user acquisition channels for APAC & North America. This includes: Responsible to deliver ROI & GBV targets for your regions and growing these each quarter
2. Actively manage and grow SEM campaigns for new and existing categories &  markets
3. Identify opportunities to scale existing channels of user acquisiton including SEM, OLA and Facebook d. Develop new channels of user acquisition to drive new growth and diversify channel-mix 
4. Improve the efficiency of the team through process improvements, decision making frameworks and automation 
5. Improve reporting and data analysis to uncover new opportunities or Coordinate with other teams such as product, data, operations & supply to participate in & lead company-wide growth projects by leveraging various levers like: 

• Identifying new market opportunities 
• Product enhancements 
• Pricing strategy 
• Competitive benchmarking 
• Building stronger engagement loops and cross-channel campaign strategies 

What we're looking for: 

• 4+ years of experience in managing SEM campaigns at scale 
• 2+ years of experience in managing a team 
• Detail-oriented and analytical 
• Strong learning curve 
• Data-driven decision making 
• Able to effectively organize, prioritize & manage their time 
• Experience with Automations is a big plus 

Job Summary:  

The Incident Response (IR) Lead manages a team of experts with diverse skill setsincluding Security Operations Center (SOC), Forensics, and technical Subject Matter Expert (SME) advisory. The IR Lead is specifically tasked with managing all aspects of an Incident Response engagement to include incident validation, monitoring, containment, log analysis, system forensic analysis, and reporting. The Incident Response Lead is also responsible for building the relationship with the client and client’s counsel and ensuring the engagement’s objectives and expectations are met and executed successfully as documented in the statement of work. You will leverage a solid foundation of technical expertise in Cybersecurity, Incident Response, and Digital Forensics to successfully execute your responsibilities.

ROLES AND RESPONSIBILITIES

· Accurately collects information from the client concerning the incident to include but not be limited to the client’s environment, size, technology, and security threats. In addition, the IR Lead is responsible for capturing all client’s expectations and objectives throughout the engagement to ensure successful delivery.

· The main point of contact manages and participates in all communications with the client and the client’s counsel during the engagement. The IR Lead sets the cadence for communications.

· Management and Coordination of all technical efforts for the IR engagement to drive the process forward through; tool deployment, ransomware decryption, restoration, and recovery efforts, system rebuilds, system, application, and network administration tasks.

· Coordinates with the Ransom Specialist when ransom negotiations are needed. Ensures updates regarding ransom status are delivered to the client and counsel in a timely fashion.

· Manages and coordinates the onsite efforts with the Onsite Lead or team ensuring they understand and can execute the objectives for the onsite work. Additional responsibilities with onsite efforts include ensuring communications are frequent and getting the daily onsite update communicating these back to the IR Director and/or IR Ops Associate for their Tiger Team.

· Ensures the Forensic Lead is coordinating the collection of data necessary for the investigation.

· Ensures SentinelOne is deployed on time and adding value.

· Communicates with sales when appropriate for SentinelOne, provide client contact.

· Communicates in tandem with the Forensic Lead pertinent findings to the client during the investigation.

· Follows up with the SOC Lead on SentinelOne alerts and encourages/coordinates client participation with the product.

· Accountable for final report review, ensuring the report is accurate, professional, and meets the objective of client counsel.

· Other duties as assigned.

DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required personnel so classified.

 Role Description : Skills & Knowledge

1. Experience leading scoping calls

2. Strong background and practical hands-on experience with Windows or Linux System and Network Administration, Security DevOps, Incident Response and Digital Forensics, or Security Engineering

3. Practical experience performing in a functional role including but not limited to one or more of the following disciplines: computer forensics, Incident Response, data analytics, Security Operations, and Engineering, Digital Investigations

4. Possesses strong verbal and written communication skills

JOB REQUIREMENTS

· Bachelor's degree in Computer Science, Computer Engineering, Information Assurance, Forensic Sciences, or related technical field; Graduate degree preferred

· 10+ years experience leading full-cycle incident response investigations and communicating with the client/counsel/carriers

· Must be eligible to work in the US without sponsorship

WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of this job.

PHYSICAL DEMANDS

· No physical exertion is required.

· Travel within or outside of the state.

· Light work: Exerting up to 20 pounds of force occasionally, and/or up-to 10 pounds of force as frequently as needed to move objects.

PriceLabs (https://www.chicagobusiness.com/innovators/what-if-you-could-adjust-prices-meet-demand" target="_blank">chicagobusiness.com/innovators/what-if-you-could-adjust-prices-meet-demand) is a cloud based software for vacation and short term rentals to help them dynamically manage prices just the way large hotels and airlines do! Our mission is to help small businesses in the travel and tourism industry by giving them access to advanced analytical systems that are often restricted to large companies. 

We're looking for someone with strong analytical capabilities who wants to understand how our current architecture and algorithms work, and help us design and develop long lasting solutions to address those. Depending on the needs of the day, the role will come with a good mix of team-work, following our best practices, introducing us to industry best practices, independent thinking, and ownership of your work.

Responsibilities:

• Design, develop and enhance our pricing algorithms to enable new capabilities.
• Process, analyze, model, and visualize findings from our market level supply and demand data.
• Build and enhance internal and customer facing dashboards to better track metrics and trends that help customers use PriceLabs in a better way.
• Take ownership of product ideas and design discussions.
• Occasional travel to conferences to interact with prospective users and partners, and learn where the industry is headed.

Requirements:

• Bachelors, Masters or Ph. D. in Operations Research, Industrial Engineering, Statistics, Computer Science or other quantitative/engineering fields.
• Strong understanding of analysis of algorithms, data structures and statistics.
• Solid programming experience. Including being able to quickly prototype an idea and test it out.
• Strong communication skills, including the ability and willingness to explain complicated algorithms and concepts in simple terms.
• Experience with relational databases and strong knowledge of SQL.
• Experience building data heavy analytical models in the travel industry.
• Experience in the vacation rental industry.
• Experience developing dynamic pricing models.
• Prior experience working at a fast paced environment.
• Willingness to wear many hats.