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Magna International

Specialist Data Science

Reposted 5 Hours Ago
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Hybrid
Bangalore, Bengaluru Urban, Karnataka
Senior level
Hybrid
Bangalore, Bengaluru Urban, Karnataka
Senior level
The Data Scientist will design and implement machine learning models, perform statistical analysis, collaborate on data requirements, and support model deployment and monitoring.
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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.
Job Responsibilities:
Job Description:
We are seeking a motivated and detail-oriented Data Scientist to join our analytics and AI team. This role is ideal for candidates with foundational experience in data science and a strong interest in applying machine learning, statistical techniques, and scalable data tools to real-world problems. You will collaborate with data scientists and engineers to develop, deploy, and monitor data-driven solutions.
Key Responsibilities:
  • Assist in designing and implementing machine learning models for predictive analytics and anomaly detection
  • Perform statistical analysis to extract insights and support business decisions
  • Collaborate with cross-functional teams to understand data requirements and deliver actionable solutions
  • Contribute to data preprocessing, feature engineering, and model evaluation
  • Support the deployment and monitoring of models in production environments
  • Use Databricks for scalable data processing and model development

Required Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Hands-on experience with Python and machine learning libraries
  • Understanding of statistical methods and their application in data analysis
  • Good communication and collaboration abilities
  • Fluency in English

Preferred Qualifications:
  • Familiarity with cloud-based platform especially Databricks
  • Hands-on experience with ML monitoring tools (e.g., MLflow).
  • Knowledge of SQL and data visualization tools
  • Experience with PySpark
  • Internship or academic project experience in data science or machine learning

Work experience:
5+ years of experience.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Powertrain

Top Skills

Databricks
Mlflow
Pyspark
Python
SQL

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