What you will doIn 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<ul><li>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.</li><li>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.</li><li>Develop digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users.</li><li>Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints.</li><li>Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics</li><li>Lead complex solution development, scoping and utilize design thinking principles for customer centric model delivery</li><li>Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics.</li><li>Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team.</li><li>Potential travel up to 5-10%</li></ul>​What we look forRequired<ul><li>Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related field—or equivalent practical experience.</li><li>3-5 years of applying ML/statistics on business data.</li><li>Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, Snowflake).</li><li>Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods.</li><li>Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling.</li><li>Ability to work in cross-functional teams and explain technical work clearly to non-technical partners. Candidates must be self-driven, curious, and creative</li></ul>Preferred<ul><li>Cloud &amp; big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus.</li><li>Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion.</li><li>MLOps concepts (model validation, monitoring, packaging with Docker/Kubernetes).</li><li>Deep learning basics (PyTorch/Keras) for the right use cases.</li><li>Experience contributing to agile backlogs, user stories, and sprint delivery.</li><li>5+ years of experience in data analytics</li><li>Master’s Degree in Statistics, Economics, Data Science or Computer Science.</li></ul>How you will be successful<ul><li>Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback.</li><li>Balance rigor with practicality—choose the simplest model that solves the problem and can be supported in production.</li><li>Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs.</li></ul>What you get:<ul><li>Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire</li><li>Tuition reimbursement, perks, and discounts</li><li>Parental and caregiver leave programs</li><li>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, and domestic partner benefits</li><li>Global market strength and worldwide market share leadership</li><li>HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility</li><li>Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction.</li></ul>Who we are: Clarios is the force behind the world’s most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials—setting the standard for sustainability in our industry. At Clarios, we’re not just making batteries; we’re shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios—where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion—where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics.We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing <a href="mailto:Special.Accommodations@Clarios.com">Special.Accommodations@Clarios.com</a>. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please <a href="https://www.clarios.com/global-responsibility">read our latest report</a>. We want you to <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">know your rights</a> because EEO is the law.A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

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<div id="ember57" class="ember-view organization-about-module__content-consistant-cards-description">Clarios creates the most advanced battery technologies for virtually every type of vehicle. We are a global leader in advanced energy storage solutions, powering one in three of the world&rsquo;s vehicles. We produce more than 150 million batteries &ndash; one-third of the industry&rsquo;s output &ndash; every year, and we continue to build and expand our capacity to meet our customer&rsquo;s future demand.</div>
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<div class="org-about-module__content-improvement">
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Senior Data Scientist

What you will doIn 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<ul><li>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.</li><li>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.</li><li>Develop digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users.</li><li>Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints.</li><li>Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics</li><li>Lead complex solution development, scoping and utilize design thinking principles for customer centric model delivery</li><li>Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics.</li><li>Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team.</li><li>Potential travel up to 5-10%</li></ul>​What we look forRequired<ul><li>Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related field—or equivalent practical experience.</li><li>3-5 years of applying ML/statistics on business data.</li><li>Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, Snowflake).</li><li>Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods.</li><li>Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling.</li><li>Ability to work in cross-functional teams and explain technical work clearly to non-technical partners. Candidates must be self-driven, curious, and creative</li></ul>Preferred<ul><li>Cloud &amp; big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus.</li><li>Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion.</li><li>MLOps concepts (model validation, monitoring, packaging with Docker/Kubernetes).</li><li>Deep learning basics (PyTorch/Keras) for the right use cases.</li><li>Experience contributing to agile backlogs, user stories, and sprint delivery.</li><li>5+ years of experience in data analytics</li><li>Master’s Degree in Statistics, Economics, Data Science or Computer Science.</li></ul>How you will be successful<ul><li>Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback.</li><li>Balance rigor with practicality—choose the simplest model that solves the problem and can be supported in production.</li><li>Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs.</li></ul>What you get:<ul><li>Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire</li><li>Tuition reimbursement, perks, and discounts</li><li>Parental and caregiver leave programs</li><li>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, and domestic partner benefits</li><li>Global market strength and worldwide market share leadership</li><li>HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility</li><li>Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction.</li></ul>Who we are: Clarios is the force behind the world’s most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials—setting the standard for sustainability in our industry. At Clarios, we’re not just making batteries; we’re shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios—where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion—where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics.We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing <a href="mailto:Special.Accommodations@Clarios.com">Special.Accommodations@Clarios.com</a>. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please <a href="https://www.clarios.com/global-responsibility">read our latest report</a>. We want you to <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">know your rights</a> because EEO is the law.A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Senior Data Scientist

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Clarios

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