Sr. Data Science

• Role : Sr. Data Science
• Location : Lincolnshire, Illinois 60069-

Minimum Work Experience (years):

• 6+ years of experience in Data Science/Data Engineering with emphasis on the full lifecycle of Data Science-ML/AI projects.
• Within that timeframe, experience is expected in: Python/PySpark, SQL, and relational or NoSQL databases, and cloud resource management.

Key Skills and Competencies:

• • Experience working with AWS, Azure, or GCP 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.

Position Specific Information:

• • Travel Requirements (as a % of time): N/A
• • Able to telework? Yes/no: Yes/Hybrid (2 days: Tue + Thur mandatory in the office, one day of
• choice from Mon/Wed/Fri in the office)