Senior Data Scientist (remote)

*If you are local to Milwaukee we require at minimum 3 days in office*

What you will do

In this exciting role you will lead the effort to build and maintain a digital twin of our mission critical North American closed-loop critical minerals supply chain. This is not only a $2.2B global network that represents over half of Clarios’ 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 Clarios. You’ll apply modern statistics, machine learning and AI to real manufacturing and supply chain problems, working side-by-side with our business stakeholders and our global analytics team to deploy transformative solutions- not just models.

How you will do it

• Build production-ready ML/statistical models (regression/classification, clustering, time series, linear / non-linear optimizations) to detect patterns, perform scenario and what if analytics and generate prescriptive insights / outcomes.
• Wrangle and analyze and model data with Python and SQL; perform feature engineering, data quality checks, and exploration analysis to validate hypotheses and model readiness.
• Develop 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
• Lead complex solution development, scoping and utilize design thinking principles for customer centric model delivery
• Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics.
• Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team.
• Potential travel up to 5-10%

​What we look for

Required

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related 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, Snowflake).
• Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods.
• 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 clearly to non-technical partners. Candidates must be self-driven, curious, and creative

Preferred

• Cloud & big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus.
• Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion.
• MLOps concepts (model validation, monitoring, packaging with Docker/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.

How you will be successful

• Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback.
• Balance rigor with practicality—choose the simplest model that solves the problem and can be supported in production.
• Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs.

*This position is not eligible for sponsorship*

This position offers a competitive salary and a comprehensive benefits package including health, dental, and vision insurance as further described below. The position has a salary range of $100,000 to $145,000 per year. This role may also include opportunities for a bonus and premium pay based on performance.

What you get:

• Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire

• Tuition reimbursement, perks, and discounts

• Parental and caregiver leave programs

• All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program