Data Science Manager

We are looking for a Lead Senior Data Scientist who is highly hands-on, technically strong, and capable of leading a small team while owning end-to-end delivery of data science solutions. This role requires a balance of deep individual contribution (70–80%) and team leadership & stakeholder management (20–30%).

Key Responsibilities

·Design, develop, and deploy end-to-end data science solutions from problem framing to production

·Work hands-on with SQL and Python for data extraction, analysis, feature engineering, and modeling

·Build and optimize machine learning models using classical ML techniques

·Apply advanced analytical methods such as:

§Causal inference

§Price elasticity modeling

§Forecasting / Time Series analysis

§Optimization techniques

·Translating business problems into data science approaches and measurable outcomes

·Lead, mentor, and review work of junior and mid-level data scientists

·Ensure high-quality, scalable, and maintainable model delivery

·Collaborate closely with product, engineering, and business stakeholders

·Drive best practices in modeling, experimentation, and code quality

Required Skills & Qualifications

·8–12 years of experience in Data Science / Machine Learning

·Strong hands-on expertise in SQL (complex queries, performance tuning)

·Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels, etc.)

·Solid understanding of statistics and machine learning fundamentals

·Proven experience in one or more of the following:

§Causal modeling / experimentation

§Price elasticity / pricing models

§Forecasting / time-series models

§Optimization or classical ML algorithms

§Recommendation

·Experience leading a team and owning delivery commitments

·Strong problem-solving and communication skills

Good to Have

·Experience deploying models into production environments

·Familiarity with cloud platforms or MLOps workflows

·Prior experience working with business stakeholders in retail, pricing, supply chain, or growth analytics