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Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 2, 2026.

Overview
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Impact
Profile match
Schaeffler Group is a leading global automotive and industrial supplier headquartered in Herzogenaurach, Germany. The company specializes in high-precision components, powertrain systems, and rolling bearing solutions for automotive and industrial applications. Through its focus on e-mobility, renewable energy, and digital services, it delivers innovative technologies that shape sustainable motion and transportation worldwide.

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

General Information

We are looking for an AI-focused Data Scientist to drive the development of intelligent software, analytics, and AI products within Industrial Lifetime Solutions.

While the role includes core data-science activities such as data preparation, statistical analysis, and predictive modeling, its primary focus is the design, development, validation, and operationalization of Artificial Intelligence solutions.You will build advanced machine-learning models -including deep-learning approaches- to identify patterns, anomalies, and trends in industrial data and translate these capabilities into scalable, production-ready applications.

You will collaborate closely with data engineers, software engineers, product managers, business analysts, and domain experts to ensure AI solutions address real business and customer needs.

Your Key Responsibilities

  • Design, develop, train, and optimize AI and machine-learning models, including deep-learning models where appropriate.
  • Apply AI techniques to detect patterns, anomalies, trends, and predictive signals in complex industrial data.
  • Collect, clean, structure, and prepare data from multiple sources for AI-model development.
  • Build, validate, deploy, and maintain predictive and intelligent models.
  • Test, tune, and continuously monitor AI-model performance, reliability, accuracy, robustness, and potential bias.
  • Support the integration of AI models into production software systems in collaboration with software and data engineering teams.
  • Apply statistical analysis and data-science methods to support model development and business decision-making.
  • Create clear visualizations and communicate complex AI insights to technical and non-technical stakeholders.
  • Work with cross-functional teams to align AI solutions with product roadmaps, customer needs, and company objectives.
  • Contribute to the continuous advancement of AI, analytics, and software products.

Your Qualifications

  • University degree in Applied Computer Science, Business Informatics, Mathematics, Software Engineering, Machine Learning, Artificial Intelligence or a comparable discipline.
  • Demonstrated practical experience in machine learning and AI model development.
  • Strong programming skills for data processing, analysis, and AI-model development.
  • Solid knowledge of statistical analysis, predictive modeling, and model evaluation.
  • Experience working with data throughout the full AI lifecycle-from data preparation and experimentation to deployment and monitoring.
  • Familiarity with data visualization and the ability to communicate findings clearly.
  • Strong analytical, critical-thinking, and problem-solving skills.
  • Ability to work independently while collaborating effectively in interdisciplinary teams.
  • Strong communication and organizational skills, including the ability to explain AI concepts and results to diverse audiences.
  • Proficiency in English, with strong verbal and written communication skills; knowledge of German is an advantage.
  • High willingness to collaborate within an international team, demonstrating flexibility across topics and tasks.
  • Ability to operate in a structured, analytical, strategic and independent manner.

Our Offering

  • Onboarding & Integration: we help you settle in quickly through our onboarding program and a team that supports you.
  • Health & Life Insurance: we provide private health plans and life insurance, so you can have peace of mind.
  • Discounts: enjoy discounts from our partners on activities, trainings, goods etc.
  • Bookster Subscription: are you a passionate reader? Then you can borrow your favorite books from the Bookster Library.
  • Professional Development: with our variety of projects and teams, you'll be able to learn new skills, develop and shape the career path that fits you best.
  • Bonuses: performance bonuses reward your achievements, and through referral bonuses we thank you for helping our team grow.
  • Gift for Special Occasions: celebrate Easter, 8th of March or the Winter Holiday.
  • Vacation Days: we truly believe in long-term partnerships, and we’re committed to supporting your well-being with a generous vacation policy from the start of your journey with us.
  • Meal Tickets: we’re happy to offer meal tickets as part of your everyday benefits, helping make your lunch breaks more enjoyable.
  • Flexibility: you can balance your work and personal life with arrangements tailored to your job and responsibilities.

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

www.schaeffler.com/careers

Your contact

Schaeffler Romania S.R.L.

Lorena-Larisa Radita

Keywords: Experienced;Engineer;Full-Time; Unlimited; Digitalization & Information Technology;

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