We are seeking a Data Scientist to support our Demand Planning and Customer Services teams by using data to make informed, efficient decisions.

Key Responsibilities:

Demand Planning:

• Utilize strong data analysis skills to challenge existing processes and defend quantitative analysis outputs.
• Create and modify statistical models for all areas of the business.
• Update forecasting parameters, detect and correct outliers, and iteratively refine forecasting processes to optimize models.
• Support the development and implementation of improvement processes/systems related to demand planning.
• Evaluate the effectiveness of base statistical forecasts and provide recommendations on different models and parameters to optimize rolling forecasts.
• Work with the Commercial and Demand Planning teams to forecast new products across the portfolio.
• Identify proxy SKUs, validate master data, and determine SKU cannibalization.

Customer Services:

• Collaborate with non-Vendor Managed Inventory (VMI) customers to transition them to DBRS.
• Work with Customer Services, MIS, Finance, and Shopper Marketing/Sales teams to enhance DBRS accuracy.
• Understand the order processing, delivery/sales transaction, and billing processes in SAP (SD Module).
• Develop key performance indicators (KPIs) for DBRS and improve service levels for NFL.
• Align customer master data with order generation systems/SAP and execute conversion activities for customer and FG codes.
• Devise optimization algorithms based on customer requirements to enhance supply chain efficiency, reduce costs, and improve service levels.

Required Skills:

• Strong knowledge of advanced statistical techniques and concepts, including regression, decision trees, ensemble models, time series, forecasting, linear programming, and optimization.
• Excellent Microsoft Excel skills.
• Experience with Power BI and database management.
• Previous experience with forecasting software is preferred.
• Excellent analytical and problem-solving skills.
• Knowledge of SAP, Python, and Machine Learning is an asset.
• Excellent communication skills, both written and verbal.
• Excellent organizational skills.

Qualifications:

• Preferred: Masters degree.
• Required: Bachelor’s degree.

Experience: 0-2 years of relevant experience.