Senior Data Science & Advanced Analytics Leader

TuTeck Technologies

Kolkata • Not disclosed

Yesterday

On-Site

About the job

Job Title: Senior Data Science & Advanced Analytics Leader Location: Kolkata, Onsite Job 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. 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 (8–10+ 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.