Lead Data Scientist

Lead Data Scientist

• Manage end-to-end data science projects from scoping to deployment, ensuring accuracy, reliability and measurable business impact.
• Translate business needs into actionable DS tasks, lead data wrangling, feature engineering, and model optimization.
• Communicate insights to non-technical stakeholders to guide decisions while mentoring a 14 member DS team.
• Implement scalable MLOps, automated pipelines, and reusable frameworks to accelerate delivery and experimentation.

• 4-5 years of hands-on experience in Data Science/ML with strong foundations in statistics, Linear Algebra, and optimization.
• Proficient in Python (NumbPy, pandas, scikit-learn, XGBoost) and experienced with at least one cloud platform (AWS, GCP or Azure).
• Skilled in building data pipelines (Airflow, Spark) and deploying models using Docker, FastAPI, etc.
• Adept at communicating insights effectively to both technical and non-technical audiences.
• Bachelors from any field.

• Experience with LLMs or GenAI apps.
• Contributions to open-source or published research.
• Exposure to real-time analytics and industrial datasets.

• You dont want to work in agile environments.
• The unpredictability and super iterative nature of startups scare you.
• You hate working with people who are smarter than you.
• You dont thrive in self-driven, owner mindset environments- nothing wrong- just not our type!