Responsibilities
- Develop and maintain forecasting and machine learning models to support demand planning, inventory optimization, and business forecasting use cases. ========================================================================================================================================================
- Assist in building item-location level demand forecasting models using time series, machine learning, and statistical approaches. =====================================================================================================================================
- Support development of forecasting solutions for promotions, seasonality, and trend-based demand changes. =============================================================================================================
- Contribute to modeling promotion impact on demand, including basic uplift estimation and feature engineering for promotional signals. =========================================================================================================================================
- Work with senior data scientists to apply advanced time series techniques such as ARIMA, Prophet, and ML-based forecasting models. ======================================================================================================================================
- Support development of hierarchical forecasting approaches (top-down / bottom-up) under guidance of senior team members. ============================================================================================================================
- Extract, clean, and prepare large-scale datasets for modeling and analysis. ===============================================================================
- Collaborate with cross-functional teams including analysts, engineers, and product stakeholders to translate business requirements into data science solutions. ===================================================================================================================================================================
- Assist in identifying drivers of forecast variance and improving forecast accuracy through model tuning and performance analysis. =====================================================================================================================================
- Support deployment and monitoring of ML models in production environments. ==============================================================================
- Help build scalable and automated forecasting pipelines using cloud-based tools and big data frameworks. ============================================================================================================
- Stay updated with emerging machine learning and forecasting techniques and apply them under guidance. =========================================================================================================
Basic qualifications
- Bachelor’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field or equivalent years of experience in lieu of education requirement, if applicable ========================================================================================================================================================================================================================================================
- 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree) ==============================================================================================================================================================================================================================================
- 1 year of SQL and programming experience (fewer years may be accepted with a master's or doctorate degree) ==============================================================================================================
- Master’s degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field ====================================================================================================================================================================
- 1 year of experience using multiple data systems and sources ================================================================
- 1 year of experience working with cross-functional partners ===============================================================
- Exposure to forecasting or demand planning use cases (retail, supply chain, or e-commerce preferred). =========================================================================================================
- Understanding of time series forecasting methods such as ARIMA, Prophet, or regression-based approaches. ============================================================================================================
- Basic knowledge of machine learning models such as XGBoost, Random Forest, or GLM. ======================================================================================
- Exposure to big data tools such as Spark, PySpark, or cloud platforms (GCP/AWS/Azure). ==========================================================================================
- Familiarity with ML workflow tools such as MLflow, Vertex AI, or similar (nice to have). ============================================================================================
- Understanding of forecast evaluation metrics such as MAPE, MAE, or RMSE. ============================================================================
- Experience working in collaborative environments with cross-functional teams. =================================================================================
Benefits
- 401k with up to 4.25% match ===============================
- Discounted Employee Stock Purchase Plan (15% discount of strike price) ==========================================================================
- Tuition-Free Education ==========================
- 10-week Maternity/Parental Leave ====================================
- 10% Associate Discount ==========================
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