Lead Data Scientist

Role- Lead Data Scientist

Experience:- 7+ Years

Work Mode- 4 Days WFO

Skill Set:

Mandatory: Classical ML and Data Science | Python, PySpark and SQL for ML on Big Data | ML Operationalization
Good to Have: GCP - AutoML, BigqueryML, Dataproc, VertexAI | AzureML | AWS Sagemaker

Key Responsibilities

• Leadership & Strategy

  • Lead and mentor a team of data scientists, promoting technical excellence and continuous learning.
  • Define and execute the data science roadmap in alignment with business goals.
  • Collaborate with executives and stakeholders to identify high-impact data opportunities.

• Modeling & Analytics

  • Design, develop, and deploy predictive and prescriptive models using machine learning, statistical modeling, and deep learning.
  • Drive experimentation (e.g., A/B testing), causal inference, and optimization projects.
  • Ensure models are scalable, interpretable, and maintainable in production environments.

• Collaboration

  • Work cross-functionally with engineering, product, marketing, and operations teams to implement data-driven initiatives.
  • Communicate complex findings in a clear and concise manner to non-technical stakeholders.

• Innovation

  • Stay current with the latest developments in AI/ML and data science.
  • Evaluate and integrate new tools, technologies, and methodologies as needed.

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