CooperCompanies · 9 hours ago
Senior Data Scientist- Supply Chain
3 Regent St., Livingston, NJ, 07039, US
Full-time
Onsite
Senior Level
$140K/yr - $165K/yr
5+ years expCooperSurgical is a leading fertility and women’s healthcare company dedicated to supporting patients throughout their lifetimes. The Senior Data Scientist – Supply Chain is responsible for designing and improving demand forecasting models to aid in global supply chain planning and operational decision-making, while also collaborating with various teams to translate analytical insights into actionable outcomes.
Medical Device
Responsibilities
Own and operate enterprise demand forecasting models
Designs, runs, monitors, and continuously improves large-scale demand forecasting models supporting supply chain and operations; accountable for forecast accuracy, stability, and timely delivery to planning stakeholders
Automate and scale forecasting pipelines in Snowflake
Leads the design and implementation of automated, production-ready forecasting workflows within the Snowflake data platform using Python, SQL, and notebooks; accountable for reducing manual effort, improving repeatability, and ensuring data lineage and reliability
Develop and maintain advanced analytical codebases
Writes, reviews, and maintains advanced Python (and/or R) scripts and notebooks for data preparation, feature engineering, model training, validation, and deployment; accountable for code quality, performance, and documentation
Partner with Supply Chain and Operations stakeholders
Works closely with Demand Planning, Supply Chain, Operations, and Finance teams to understand business requirements, translate them into analytical solutions, and explain model outputs and limitations; accountable for stakeholder alignment and adoption of insights
As business needs dictate, works extended hours to complete daily department goals or tasks to include mandatory overtime
Manage and analyze complex, messy data environments
Integrates data from multiple sources including ERP systems, Snowflake tables, and external datasets; accountable for data quality assessment, anomaly detection, and pragmatic solutions in ambiguous or incomplete data scenarios
Leverage AI tools to accelerate data science productivity
Effectively utilizes AI tools such as ChatGPT, Gemini, and emerging DS/ML platforms to accelerate development, experimentation, and problem solving; accountable for staying current on AI capabilities relevant to data science and supply chain analytics
Create insights and visualizations for decision support
Develop dashboards and analytical outputs using Power BI, Tableau, or similar tools to communicate forecasts, trends, and risks to non-technical leaders; accountable for clarity, accuracy, and actionability of insights
Contribute to analytics best practices and continuous improvement
Supports broader Data Science & Analytics initiatives, contributes to standards, documentation, and knowledge sharing, and performs other related duties as assigned
Qualification
Required
Advanced proficiency in Python and/or R, including extensive experience with notebooks
Strong experience with machine learning and data platform automation (e.g., Snowflake, Azure ML, similar environments)
Advanced Excel skills for analysis, validation, and stakeholder support
Ability to communicate complex technical concepts and model outputs to non-technical managers and business partners
Proficient in reading, writing, and speaking English
5+ years of experience in data science, analytics, or applied machine learning
Hands-on experience building and maintaining production-grade predictive models
Experience working with large, complex datasets in cloud data platforms
Bachelor's degree in quantitative discipline such as Statistics, Economics, Electrical Engineering, Mathematics, Physics, or Computer Science required
Preferred
Strong understanding of supply chain concepts including demand planning, forecasting, inventory management, and operations
Experience working with Supply Chain ERP systems
Experience with data visualization platforms such as Power BI, Tableau, or similar
Demonstrated curiosity, problem-solving mindset, and “can-do” attitude in ambiguous environments
Strong ability to learn quickly and adapt to new tools, platforms, and methodologies
Prior experience supporting supply chain, operations, or demand planning functions
Experience automating analytical pipelines in Snowflake or similar modern data platforms
Master's degree in quantitative discipline or MBA with analytical concentration
Data Science, Machine Learning, Python, or R certifications preferred
Relevant professional affiliations encouraged
Benefits
Medical coverage
401(k)
Parental leave
Fertility benefits
Paid time off for vacation, personal, sick and holidays
Multiple other perks and benefits
Company
CooperCompanies
CooperCompanies (Nasdaq: COO) is a leading global medical device company focused on helping people experience life’s beautiful moments through its two business units, CooperVision and CooperSurgical.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Agostino Ricupati
SVP Finance - Tax and Chief Accounting Officer
June White
Principal Business Partner, Inclusion & Diversity
Recent News
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