Data Scientist (Hybrid) Optomi, in partnership with a globally recognized leader in entertainment and retail innovation, is seeking a Senior Data Scientist to support pricing strategy and dynamic optimization initiatives. This is a high-impact opportunity to lead advanced pricing analytics and machine learning efforts for one of the most iconic consumer brands in the world. What the right candidate will enjoy: • Hybrid work arrangement • Influencing pricing strategy for one of the most beloved retail brands globally • Opportunity to work on high-visibility projects with Merchandising, Marketing, and Finance teams • Leveraging large-scale datasets to improve profitability through predictive modeling • Ownership of end-to-end pricing experimentation and elasticity modeling Experience of the right candidate: • 5+ years of experience in data science with focus on retail pricing or ecommerce analytics • Expertise in Python (pandas, scikit-learn, statsmodels, PyMC) and SQL for large-scale data processing • Proven background in elasticity modeling, promotional lift analysis, and dynamic pricing strategies • Strong command of causal inference, A/B testing, and geo-lift studies • Ability to clearly present insights and pricing recommendations using Power BI, Tableau, or matplotlib • Advanced degree (MS/PhD) in a quantitative discipline such as Computer Science, Economics, Data Science, or Operations Research Technical Environment: Python, SQL, pandas, scikit-learn, statsmodels, PyMC, Power BI, Tableau, ARIMA, Prophet, XGBoost, LightGBM Responsibilities: • Design, develop, and deploy pricing and forecasting models to optimize revenue and margin • Lead experimental design initiatives to measure the impact of pricing strategies • Collaborate cross-functionally with Merchandising, Finance, and Marketing stakeholders • Translate complex analytical findings into clear, actionable business strategies • Drive innovation in pricing analytics through continuous research and model enhancement