Lead Data Scientist

About the job

What you’ll do • 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. What we’re looking for • 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. • Bachelor’s from any field. You might have an edge over others if • Experience with LLMs or GenAI apps. • Contributions to open-source or published research. • Exposure to real-time analytics and industrial datasets. You should not apply with us if • You don’t 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 don’t thrive in self-driven, “owner mindset” environments- nothing wrong- just not our type!

Requirements

• Data Science
• ML
• Python
• MLOps

Preferred Technologies

• Data Science
• ML
• Python
• MLOps