Senior Data Scientist

Job Requirements

Senior Data Scientist

Data & Analytics

Primary Responsibilities

• Identify and scope business requirements and priorities through rigorous analysis and clarification of solutions, initiatives, and programs.
• Monitor and integrate emerging technology trends and developments to identify new data products, services, and techniques.
• Research, identify, and adopt best-in-class techniques in AI/ML modeling.
• Apply advanced AI/ML techniques to solve problems related to customer segmentation, risk modelling, campaign targeting, and more.
• Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling.
• Analyze large datasets to identify trends, patterns, and opportunities for business growth.
• Build recommendation engines and propensity models to support cross-sell and up-sell strategies
• Validate models to ensure accuracy, stability, and compliance with regulatory guidelines.
• Present complex model outputs and insights in a clear, business-friendly manner.
• Ensure traceability and version control of datasets, models, and evaluation pipelines.
• Develop test strategies and systematic validation procedures to ensure models meet design specifications and performance standards.
• Maintain a strong understanding of data structures and fields required for analysis and modelling.
• Coordinate with the Data Engineering team to ensure data quality and seamless data flow.
• Manage stakeholder expectations by aligning analytics outcomes with organizational objectives
• Identify and evaluate digitization and innovation opportunities enabled by advancements in data and analytics.
• Develop, select, and apply analytical tools and advanced computational methods to enable systems to learn, adapt, and deliver desired outcomes.
  

• Graduation: B.Sc (Bachelor of Science) or B.Tech (Bachelor of Technology) or BCA (Bachelor of Computer Applications)
• Post-Graduation: M.Sc (Master of Science) or M.Tech (Master of Technology), or MCA (Master of Computer Applications) or MA (Economics/Statistics)
  

Experience

• 4 to 10 years of relevant experience in data analytics, data science, or related fields.
  

• Strong analytical and problem-solving skills.
• Experience with designing and implementing scalable data structures and analytics solutions.
• Familiarity with emerging technologies and data science tools.
• Proficiency in test strategy development and performance validation.
• Ability to manage stakeholder relationships and deliver data-driven insights.
• Strategic thinking with a focus on innovation and business impact.
• Excellent communication and collaboration skills.
  

• Development and deployment of analytical tools.
• Delivery of business use cases through data analytics solutions.