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Sr Data Scientist

Exclusive opportunity

Onsite

Sr Data Scientist

Brose

Sr Data Scientist

Skills

SQL QueriesDockerPythonData SciencepandasPyTorchTensorFlowGitLabData AnalysisMachine LearningAWS

6 days ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job highlights

  • 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

As a successful family-owned company on a path to global growth, the Brose Group offers challenging responsibilities and exciting career opportunities to performance-driven, skilled specialists with solid professional knowledge and proven career expertise who wish to contribute to our company s success.

Your tasks

  • 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

Your Profile

  • 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

Benefits package may vary slightly per location

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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