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Job Title : Sr. Data Scientist
Experience : 5+ Years
Location : Noida (Hybrid – 3 Days in Office)
Shift Timing : 2 PM to 11 PM
Availability : Immediate
Job Description :
We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.
The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.
Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.
Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Service based company, client of people first consultant
Location: Gurgaon
Experience: 4-8 years
Work timing: 12.30 to 9.30 PM
Job description
• Scrum Certification is a plus.
• Must have hands on experience with Jira and Confluence.
• Must have hands on experience with Agile, Scrum and Kanban.
• Lead the scrum team in using Agile methodology and scrum practices.
• Facilitates and supports all scrum events: Sprint Planning, Daily Scrum, Sprint Review,
and Sprint Retrospective.
• Resolves team impediments with other Scrum Masters to increase the effectiveness of
the application of Scrum in the organization.
• Planning and problem solving with product management and delivery teams.
• Problem-solving and conflict-resolution ability
• Maintaining and monitoring project plans and project schedules.
• Organizing, attending and participating in stakeholder meetings.
• Documenting and following up on important actions and decisions from meetings.
• Ensuring project deadlines are met.
• Ensuring projects adhere to frameworks and all documentation is maintained
appropriately for each project.
• Ensure deliverables are up to quality standards at the end of each sprint
• Provide analytical support to Manager in executing assigned projects.
• Monitor project schedules regularly to determine any delays or deviations.
• Develop project reports for management and clients.
• Coordinate with management in developing project scope, plan and deliverables.