Senior Data Scientist- Supply Chain

About CooperSurgical

CooperSurgical is a leading fertility and women's healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life.

As a division of CooperCompanies, we're driven by a unified purpose to enable patients to experience life's beautiful moments.

Guided by our shared values - dedicated, innovative, friendly, partners, and do the right thing - our offerings support patients throughout their lifetimes, from contraception to fertility and birth solutions, to women's and family care, and beyond.

We currently offer over 600 clinically relevant medical devices to healthcare providers, including testing and treatment options, as well as an innovative suite of assisted reproductive technology and genomic testing solutions.

Learn more at www.coopersurgical.com .

Work location: Trumbull, CT or Livingston, NJ (on-site)

Scope:

The Senior Data Scientist - Supply Chain is responsible for designing, operating, and continuously improving enterprise-scale demand forecasting models that directly support global supply chain planning, inventory optimization, and operational decision-making.

The role impacts annual revenue planning and inventory investment decisions across multiple product lines and regions, influencing service levels, working capital, and operational efficiency.

This position works cross-functionally with Supply Chain, Operations, Demand Planning, Finance, IT, and Analytics teams across regions and manufacturing or distribution sites.

External interaction may include technology vendors, data platform providers, and consulting partners related to forecasting tools, cloud platforms, and ERP integrations.

Job Summary:

The Senior Data Scientist - Supply Chain exists to own, enhance, and scale advanced demand forecasting capabilities that support supply chain operations and strategic planning.

This role is responsible for running a large, complex forecasting model, improving its accuracy and robustness, and leading the automation of the end-to-end forecasting pipeline within the Snowflake data platform.

The position combines deep technical expertise in Python, machine learning, and data engineering with strong supply chain domain knowledge.

The role requires the ability to work effectively with incomplete, messy, and evolving data while partnering closely with non-technical stakeholders to translate analytical insights into operational impact.