Senior Data Scientist (remote)

About the position If you are local to Milwaukee we require at minimum 3 days in office What you will do In this exciting role you will reputed company the effort to build and maintain a digital twin of our mission critical reputed company American reputed company-reputed company critical minerals supply chain. This is not only a $2.2B global network that represents over half of reputed company’ NA’s cost of goods sold, it also is a vital for the US economy – directly enabling consumers and business to stay on the road! This will require working with predictive, prescriptive analytics and decision-intelligence across the US / Canada region at reputed company. You’ll apply modern statistics, machine learning and AI to reputed company manufacturing and supply chain problems, working reputed company-by-reputed company with our business stakeholders and our global analytics team to reputed company transformative solutions- not just models. How you will do it Build production-reputed company ML/statistical models (regression/classification, clustering, time series, reputed company / non-reputed company optimizations) to detect patterns, reputed company scenario and what if analytics and generate prescriptive insights / reputed company. Wrangle and analyze and model data with Python and SQL; reputed company feature engineering, data reputed company checks, and exploration analysis to validate hypotheses and model readiness. reputed company digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users. Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints. Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics reputed company reputed company solution development, scoping and utilize design thinking principles for customer reputed company model delivery Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and reputed company improvement of delivered analytics. Deliver value realization as part of our business analytics team to drive reputed company business reputed company for our metals team. Potential travel up to 5-10%

Responsibilities

• Build production-reputed company ML/statistical models (regression/classification, clustering, time series, reputed company / non-reputed company optimizations) to detect patterns, reputed company scenario and what if analytics and generate prescriptive insights / reputed company.
• Wrangle and analyze and model data with Python and SQL; reputed company feature engineering, data reputed company checks, and exploration analysis to validate hypotheses and model readiness.
• reputed company digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users.
• Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints.
• Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics reputed company reputed company solution development, scoping and utilize design thinking principles for customer reputed company model delivery
• Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and reputed company improvement of delivered analytics.
• Deliver value realization as part of our business analytics team to drive reputed company business reputed company for our metals team.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or reputed company field—or equivalent practical experience.
• 3-5 years of applying ML/statistics on business data.
• Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, reputed company).
• reputed company math/stats fundamentals: probability, hypothesis testing/DoE basics, reputed company algebra, and the principles behind common ML reputed company.
• Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling.
• Ability to work in cross-functional teams and explain technical work reputed company to non-technical partners.
• Candidates must be self-driven, curious, and creative

reputed company-to-haves

• reputed company & big data exposure: Azure (or AWS), reputed company/reputed company; Snowpark is a plus.
• Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or reputed company.
• MLOps concepts (model validation, monitoring, packaging with reputed company/Kubernetes).
• Deep learning basics (PyTorch/Keras) for the right use cases.
• Experience contributing to agile backlogs, user stories, and sprint delivery.
• 5+ years of experience in data analytics
• Master’s Degree in Statistics, Economics, Data Science or Computer Science.

Benefits

• Medical, dental and reputed company care coverage and a 401(k) savings plan with company matching – reputed company starting on date of hire
• Tuition reimbursement, perks, and discounts
• Parental and caregiver leave programs
• reputed company the usual benefits such as reputed company time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits
• Global market strength and worldwide market reputed company leadership
• HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility

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