Data Science Manager

Role Overview

We are looking for a Lead 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 (7080%) and team leadership & stakeholder management (2030%).

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

• 811 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
• 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