Job Title:Senior Data Science & Advanced Analytics Leader
Location:Kolkata
Experience:10+ years in Data Science/Advanced Analytics/BI, including 4+ years leading teams
Employment Type:Full-Time
Notice Period:Immediate
Role Summary
The Senior Data Science & Advanced Analytics Leader will be responsible for driving data strategy, leading the design and development of scalable data solutions, and enabling AI/ML-driven decision-making across the organization. This role requires a proven leader who can oversee the end-to-end development lifecycle, manage high-performing teams, and collaborate closely with cross-functional stakeholders to enable data-driven product innovation and business impact.
Key Responsibilities
- Lead the end-to-end architecture, development, and optimization of scalable data pipelines supporting AI/ML model deployment and analytics use cases.
- Oversee Database and NoSQL data platforms (810+ years) including schema design, performance optimization, and data modeling for transactional and analytical workloads.
- Provide strong expertise in ETL/ELT workflow orchestration, data integration, and quality frameworks.
- Hands-on experience working with Hadoop, Hive, and broader big data ecosystems for large-scale, high-volume data processing.
- Drive the delivery of executive-level reporting, real-time dashboards, and self-service BI solutions, using tools such as Tableau or Power BI.
- Define and execute product analytics strategy, enabling insights that power product direction and customer engagement.
- Lead AI-based feature development from ideation to production-scale rollout.
- Collaborate with engineering, product, business, and customer stakeholders to transform business objectives into measurable, data-driven outcomes.
- Mentor and manage data engineers, BI developers, and data scientists, fostering a high-performance culture.
Required Qualifications
- 10+ years of professional experience in Data Science, Advanced Analytics, or Business Intelligence.
- Minimum 4+ years leading and managing high-performing data/analytics teams.
- Proven experience with SQL/NoSQL databases, schema design, performance tuning, and optimization.
- Strong working knowledge of Hadoop, Hive, and big data processing frameworks.
- Demonstrated proficiency with Tableau or Power BI for rich data visualization and analytics.
- Deep understanding of ETL processes, data transformation logic, and workflow management tools.
- Experience deploying AI/ML-driven analytics solutions at scale.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Cloud experience (AWS, Azure, GCP Data Factory, Redshift, Databricks, BigQuery, or equivalent).
- Experience with MLOps or DataOps frameworks.
- Familiarity with containerization and CI/CD (Docker, Kubernetes, Jenkins).
- Knowledge of statistical analysis, predictive modeling, and feature engineering.
