Key Skills and Competencies:
Experience working with AWS, Azure, or Google Cloud Platform cloud environments.
Experience implementing advanced analytics, ML/AI algorithms (such as:
▪ Statistical Time Series: Exponential Smoothing Models, S/ARIMA;
▪ Machine Learning: Random Forests, Gradient Boosting Methods;
▪ Neural Networks: TiDE (Google), DenseNet & Prophet (FB-Meta);
▪ Foundational Time Series Models: TimesFM (Google), Chronos (AWS) and mathematical (constrained linear, non-linear and network) optimization models
Proven experience building end-to-end production grade Data & ML/AI pipelines using PySpark, Python (Pandas/NumPy) and SQL.
Experience working with Git (or similar code management repositories) as a collaboration tool.
Experience with orchestration tools like Databricks, Airflow (or similar tools like Snowflake, Dagster, etc.).
Understanding of Retail/CPG industry business challenges with an emphasis on Supply
Chain, Pricing/Promotions/Markdowns, Inventory Allocation, Assortment Mix Planning,
Size & Pack Optimization, Retail Shrink/Fraud & Anomaly Detection, and Workforce optimization applications are highly desirable.
Excellent verbal and written communication skills, especially as it relates to technical communications. Ability to present technical analysis to business stakeholders.
Demonstrated ability to learn new technologies quickly and independently, particularly as technology in this domain rapidly advances. In this context, a working knowledge of GenAI/LLMs, Agentic-AI and related frameworks (e.g. LangChain) will be a plus.
Ability to work independently with minimal supervision and achieve stretch goals in a very innovative and fast-paced environment.