Lead Data Scientist – AI/ML

5 days ago

Kolkata metropolitan area West Bengal, India TuTeck Technologies Full time ₹ 80,00,000 - ₹ 2,50,00,000 per year

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. 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 (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.

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.

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