Job Description
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
Required Skills
Sql, Python, Machine Learning, Statistics, Deep Learning, Data Science, Forecasting, Pricing, Causal Inference, Optimizaiton, Recommendation, NLP