Data Scientist

Posted 18 Days Ago
Bangalore, Bengaluru, Karnataka
Hybrid
5-7 Years Experience
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
Magna Global IT is seeking a talented Data Scientist to support manufacturing divisions in applying industry-leading analytical methodologies for predictive quality, preventive maintenance, demand forecasting, and Smart Factory initiatives. The ideal candidate thrives in an entrepreneurial environment, is a strong problem-solver, and effectively communicates insights to both technical and non-technical audiences.
Summary Generated by Built In

Group Description
At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We're the only mobility technology company and supplier with complete expertise across the entire vehicle.
We are committed to quality and continuous improvement because our products impact millions of people every day. But we're more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it's our talented people who lead us on this journey.
Role Summary
Magna Global IT is seeking a talented Data Scientist, Manufacturing supporting our divisions delivering a better product for a better price by applying industry-leading analytical methodologies in various ways. The area of involvement covers predictive quality, preventive maintenance, demand forecasting, inventory management as well as use cases in the field of Smart Factory like Digital Twins and Production Simulation. As an ideal candidate you thrive in an entrepreneurial environment and you are fired up by the challenge of building something from the ground up. You ask questions, are continually learning as well as finding opportunities to share knowledge with others. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done.
Key Responsibilities

  • Design and develop algorithms and models to use against large datasets to create business insights. Incorporate business knowledge into solution approach by trustful collaboration with internal customers and cross-functional teams
  • Lead Data Science & Analytics projects & initiatives and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Prepare reports, updates and presentations related to progress made on a project or solution
  • Effectively communicate insights, recommendations and its impact to both technical and non-technical leaders and business partners
  • Participate in establishing and continuously improving Magna's data science practice by developing replicable solutions (e.g. codified data products, recipes, project documentation, process flowcharts)
  • Seek further knowledge on key developments within data science, technical skill sets, and additional data sources


Key Qualifications/Requirements

  • Ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
  • Experience developing and running simulation, optimization, and what-if scenario planning tools to support decision making
  • Experience building and maintaining predictive and/or prescriptive models in production at enterprise scale
  • Excellent written and verbal communication skills in English language, including ability to develop and deliver presentation. Additional Language skills are an advantage (German, Spanish, Mandarin)
  • Advance Knowledge and engineering skills in (Cloud) big data & database technologies, data management & data pipeline development
  • Experience with Microsoft Azure stack (Azure Data Warehouse, Databricks, Azure Analysis Services, Power BI) is an advantage


Knowledge, Education and Work Experience

  • Advanced degree, applicable certification, or equivalent experience in Operations Research, Management Science, Industrial and Systems Engineering, Statistics, Mathematics, Economics, Computer Science or related field
  • 6+ years of practical experience with data processing and analytics
  • 4+ years in a data science role with experience in Manufacturing


Additional Information
For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.
We offer attractive benefits (e.g. discretionary performance bonus) and a salary which is in line with market conditions depending on your skills and experience.
Regular travel up to 10% of the time.
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 to comply with GDPR requirements and your local Data Privacy Law.

Top Skills

Python
R
SQL
The Company
171,000 Employees
Hybrid Workplace
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 168,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries.

We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
India

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