Data Science Manager

Role Overview

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
• Recommendation

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

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