Senior Data Scientist & AI Lead (Marketing & Revenue Operations)
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A distinguished U.S.-based retailer specializing in children apparel.
Role Introduction
As a hands-on Senior Data Scientist & AI Lead, you will own the full algorithmic roadmap across marketing measurement and retail operations (~70% modeling/engineering, ~30% strategy/stakeholder communication). Drive incrementality measurement, demand forecasting, and inventory optimization while ensuring statistical rigor in a fast-moving startup environment. Collaborate closely with Marketing, Finance, Supply Chain, and Engineering teams to deploy production-grade models that directly influence capital allocation and inventory decisions.
Features
- Onsite
- 1PM-10PM
- Fulltime
Requirements
- Build and maintain Multi-Touch Attribution (MTA) and Media Mix Models (MMM) to determine true incremental ROAS across fragmented channels including Meta, Google, TikTok, and TV
- Architect and execute rigorous A/B tests and Geo-lift studies to calibrate attribution models and validate marketing hypotheses
- Develop SKU-level time-series demand forecasting models that account for seasonality, trends, and marketing events
- Build constrained optimization algorithms (LP/MIP) to determine ideal purchase quantities, balancing stockout risk against overstock costs
- Model price elasticity and recommend dynamic pricing strategies that maximize margin without sacrificing sell-through velocity
- Write clean, maintainable Python code and collaborate with engineers to deploy models into production data pipelines
- Communicate complex statistical findings to non-technical stakeholders, including translating why last-click ROAS is misleading to executive leadership
Specifications
- 5+ years of experience as a Data Scientist, preferably in e-commerce, retail, or ad-tech
- MS or PhD in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or Physics) or equivalent practical experience
- Proven hands-on experience with Incrementality measurement, MMM, or Multi-Touch Attribution; must be able to address iOS14+ tracking limitations
- Deep expertise in causal inference (potential outcomes, do-calculus, instrumental variables) applied to marketing measurement
- Strong proficiency in Bayesian methods (for MMM), Markov Chains (for MTA), and hierarchical modeling
- Experience with demand forecasting and inventory optimization in a retail or supply chain context
- Expert-level Python: pandas, NumPy, scikit-learn, PyTorch
- Familiarity with probabilistic programming frameworks (PyMC, Stan) and/or optimization solvers (Gurobi, OR-Tools) is a major plus
- Advanced SQL fluency: complex joins, window functions across large datasets
- Strong grasp of ML methods including regression, random forests, gradient boosting, and LSTM networks for time-series forecasting
Expertise
Skills: A/B Testing, Bayesian Modeling, Causal Inference, Demand Forecasting, Dynamic Pricing, e-Commerce Analytics, Geo-Lift Studies, Gradient Boosting, Gurobi, Hierarchical Modeling, Incrementality Measurement, Inventory Optimization, iROAS, Linear Programming, LSTM, Machine Learning, Markov Chains, Media Mix Modeling, Mixed-Integer Programming, Multi-Touch Attribution, NumPy, Operations Research, OR-Tools, pandas, Price Elasticity, PyMC, Python, PyTorch, Random Forests, Scikit-Learn, SQL, Stan, Statistical Modeling, Supply Chain Analytics, Time-Series Forecasting
About TalentHue
TalentHue provides scalable, reliable Tech Recruitment, Corporate Recruitment and Consulting (Strategy, Operations, Performance) services. Our Recruitment and HR consultants will work alongside your team to meet the unique needs of your business.- Lahore
Senior Data Scientist & AI Lead (Marketing & Revenue Operations)
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Salary Range
600K-700K
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