Business Data Scientist – Advanced Analytics
Business Data Scientist – Advanced Analytics
Business Data Scientist – Advanced Analytics
Business Data Scientist – Advanced Analytics
Magna International
Automobil- und Fahrzeugbau
Block
- Art der Beschäftigung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
Business Data Scientist – Advanced Analytics
Über diesen Job
Business Data Scientist – Advanced Analytics
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- locations
- Bangalore, IN
- time type
- Full time
- posted on
- Posted 23 Days Ago
- job requisition id
- R00211150
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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:
Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
We are looking for a Data Scientist who can work closely with business stakeholders to design, build, and operationalize advanced forecasting and analytics solutions across various business functions like procurement, sales, finance, treasury, or quality. This role combines classical machine learning with emerging GenAI/LLM techniques to deliver high-impact insights for senior leadership. You will manage models end-to-end, converting strategic business questions into scalable, production-ready solutions that support decision making and early-warning capabilities.
Key Responsibilities
Collaborate with business teams to translate domain problems (e.g., spend, sales, cash flow, quality trends) into analytical and forecasting use cases.
Own model development from concept to deployment, including data preparation, feature engineering, model design, testing, and monitoring on Databricks.
Build time-series, regression, anomaly detection, and early-warning models for leadership reporting and high-impact business decisions.
Identify and apply GenAI/LLM approaches—such as narrative generation, scenario simulation, or hybrid modeling—where they bring clear value.
Work closely with Data Engineering to define data requirements and ensure high-quality, reliable pipelines.
Communicate analytical outcomes and recommendations in clear business terms for executive stakeholders.
Apply MLOps practices (MLflow, Model Registry, workflows) for reproducibility and operational robustness.
Support the maturation of the organization’s AI/ML landscape by contributing patterns, best practices, and model lifecycle improvements.
Required Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Economics, or related field.
4–6 years of experience in data science with a track record of delivering end-to-end forecasting or business-focused ML solutions.
Strong proficiency in Python and SQL; experience with Databricks for analytics, ML, and data pipelines.
Solid grounding in time-series and classical ML methods, with experience deploying models in production environments.
Strong communication and stakeholder engagement skills, with the ability to collaborate with non-technical business leaders.
Experience applying MLOps practices (reproducibility, CI/CD, monitoring, lifecycle management).
Preferred Skills
Experience working with business functions like sales, finance, procurement, treasury, or quality analytics in a manufacturing or enterprise context.
Familiarity with GenAI/LLM techniques and practical application to business workflows.
Exposure to product-centric work with cross-functional teams.
Knowledge of visualization tools such as Power BI or Tableau.
Understanding of manufacturing, automotive, or large enterprise business processes.
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.