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# Senior Data Scientist

- **Company:** Brose
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Cloud Database, Computer Programming, Database Queries, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Unstructured Data, Pytorch, Model Validation, Gitlab, Pandas, Matplotlib, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines, Docker
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ps07dpwbxi

## About the Role

* MSc/PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related field.
 * Strong programming skills in Python, including experience with libraries such as pandas, scikit-learn, TensorFlow/PyTorch, and matplotlib/seaborn.
 * 7+ years of experience in applied data science or machine learning within an industry context, preferably on AWS.
 * Solid understanding of statistical modeling, machine learning algorithms, and model evaluation techniques.
 * Experience with cloud-based data tools such as SageMaker, Glue, Athena, Lambda, and S3.
 * Familiarity with MLOps practices, including CI/CD pipelines (e.g., GitLab), Docker, and model monitoring.
 * Strong SQL skills and experience working with large-scale data warehouses.
 * Excellent communication skills in English; proficiency in German is a plus.
 * Independent, structured, and solution-oriented working style with a collaborative mindset

## Description

* Design and implement advanced analytics and machine learning models for the automotive industry.
 * Collaborate with data engineers to ensure high-quality, scalable data pipelines and model deployment workflows.
 * Analyze large-scale structured and unstructured datasets to extract actionable insights.
 * Develop and maintain reproducible data science workflows using Python and cloud-native tools.
 * Communicate findings and recommendations to stakeholders through compelling visualizations and storytelling.
 * Contribute to the continuous improvement of our data science infrastructure and best practices