Data Scientist

About The Company

Salzgitter Mannesmann Forschung GmbH is a leading research organization dedicated to advancing the steel industry through innovative scientific and technological solutions. As the central research entity of the Salzgitter Group, we support our parent company, Salzgitter Flachstahl GmbH, by developing new products and optimizing manufacturing processes. Our commitment to sustainability is exemplified by our active participation in projects like SALCOS (Salzgitter Low CO2 Steelmaking), which aims to revolutionize steel production with environmentally friendly methods.

We leverage cutting-edge data science, machine learning, artificial intelligence, and materials science to address real-world industrial challenges, ensuring our solutions have a tangible impact on product quality, process efficiency, and sustainability goals.

About The Role

We are seeking a highly skilled Data Scientist / Ingenieur / Naturwissenschaftler (w/m/d) to join our "Advanced Analytics and Material Simulation" team at our Salzgitter location. In this role, you will apply modern data science methodologies to solve complex industrial problems related to materials and manufacturing processes. Your work will directly influence the development of innovative solutions for the steel industry, including predictive modeling, process optimization, and material simulation.

You will collaborate with interdisciplinary teams, present your findings to internal and external stakeholders, and contribute to pioneering research projects that drive the future of sustainable steel production. This position offers an excellent opportunity to work at the intersection of data science, materials science, and industrial engineering in a dynamic and forward-thinking environment.

Qualifications

• Successfully completed university degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Materials Science, Engineering, or a comparable field.
• Strong knowledge of Data Science, Machine Learning, Statistics, or Artificial Intelligence.
• Experience with Python and common Data-Science libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
• Interest in analyzing complex technical and industrial datasets.
• Basic understanding of materials science, metallurgy, or production engineering is desirable.
• Excellent communication skills in both German and English.

Responsibilities

• Analyze complex product, process, and quality data using advanced data science and analytics techniques.
• Develop, validate, and implement data-driven models to describe, predict, and optimize material and process properties.
• Utilize modern machine learning, statistical, and artificial intelligence methods to derive insights and solutions.
• Present findings and results clearly to internal teams and external project partners.
• Initiate and manage challenging research and development projects aligned with strategic goals.
• Supervise and mentor students and scientific theses, fostering knowledge transfer and innovation.

Benefits

• Work within a corporation committed to sustainability, exemplified by initiatives like "Pioneering for Circular Solutions" and SALCOS, leading the way in low CO2 steel manufacturing.
• Autonomous and responsible work in a collaborative, interdisciplinary environment equipped with modern tools and facilities.
• Structured support for personal development through comprehensive training programs and excellent career progression opportunities within the company and the broader Salzgitter Group.
• Leadership that values trust, encourages professional growth, and views mistakes as learning opportunities.
• Inclusive corporate culture emphasizing diversity, equal opportunity, respectful collaboration, personal engagement, and team-building events.
• Competitive, tariff-bound salary with additional benefits such as social security, company pension schemes, and supplementary insurance options.
• Flexible working arrangements including Gleitzeit, part-time, home-office options, and at least 30 days of vacation annually.
• Location in the vibrant metropolitan region of Braunschweig/Hannover, close to the Harz Mountains, offering a high quality of life and recreational opportunities.

Equal Opportunity

Salzgitter Mannesmann Forschung GmbH is committed to fostering an inclusive and diverse workplace. We welcome applications from individuals of all backgrounds, including people with disabilities. Our hiring process is fair and unbiased, and we provide equal opportunities for all candidates.

We believe that diversity enhances innovation and drives our success. If you are motivated to contribute to sustainable industrial solutions and meet the qualifications outlined, we encourage you to apply. We look forward to welcoming talented professionals to our team and supporting their career growth.