Clarios · 20 hours ago
Senior Data Scientist (remote)
United States
Full-time
Remote
Mid, Senior Level
$100K/yr - $145K/yr
3+ years expClarios is a leader in energy storage solutions, and they are seeking a Senior Data Scientist to lead the development of a digital twin for their critical minerals supply chain. The role involves applying machine learning and analytics to solve real-world manufacturing and supply chain challenges, collaborating with stakeholders to deliver impactful insights.
AutomotiveEnergyEnergy StorageManufacturing
No H1B
Responsibilities
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%
Qualification
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
Benefits
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
Paid time off
Flexible spending
Short-and long-term disability
Basic life insurance
Business travel insurance
Employee Assistance Program
Domestic partner benefits
Company
Clarios
Clarios is an advanced energy storage solutions that develops, manufacture and distributes a portfolio of evolving battery technologies. It is a sub-organization of Brookfield Business Partners.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$750M2023-04-24Debt Financing· $750M
2019-05-01Acquired
Leadership Team
Helmut Zodl
Chief Financial Officer
E
Elizabeth Powers
Chief Human Resources Officer
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2026-01-07
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