Data scientist Jobs in Hanau

Vernetzen, Stärken, Entwickeln und Begeistern - das sind die Werte, die uns antreiben und die BMI zu einem Unternehmen machen, in dem Sie sich entfalten und wachsen können.

BMI is the only manufacturer offering both pitched and flat roof systems for residential and commercial buildings from a single source. We possess decades of roofing expertise and focus on innovative roofing and structural solutions. We leverage this extensive experience in Germany through a workforce of over 2,000 employees, 17 production sites, a research and development center, and five strong brands: BRAAS, icopal, VEDAG, WOLFIN, and KLÖBER. BMI in Germany is part of the BMI Group, which employs around 9,600 people worldwide.About the role

We are looking for a Digital Scientist / Data Specialist to contribute to the digital transformation of Research, Development & Engineering (RD&E) and its laboratories. In this role, you will play a dual part: acting as a technical data anchor for our new Laboratory Information Management System (LIMS) roll-out, while simultaneously serving as a key team member across broader digital initiatives like formulation modeling and scientific computing.

We are looking for a full time position in Heusenstamm

Digital Scientist & Programme Coordinator (m/f/d)

You will start by structuring and securing our RD&E data assets, with the perspective to take ownership of our data architecture as a Knowledge Manager.

Your responsibilities:

• LIMS Implementation & Operations

  Support & Configuration: Assist in the setup, testing, and formatting of our new LIMS to mirror workflows across our RD&E labs.

  Data Integration: Help connect laboratory equipment and software to the central LIMS platform to enable automated data collection.

  User Support: Create clear user guides and train laboratory staff to ensure effective system adoption.

• Digital Project Management & Governance

  Project Delivery: Act as a valuable team member for digital initiatives in the RD&E space (e.g., formulation modeling, scientific computing).

  Portfolio Coordination: Maintain the overall portfolio overview, manage project interdependencies, ensure consistent methodology, and secure a common language across initiatives.

  Project Definition: Contribute to defining clear project scopes, hypotheses, timelines, and measurable success metrics.

  Business Case Enablement: Support RD&E teams in building sound business cases and use cases

  Roadmap Evolution: Help fine-tune the Digital Roadmap for RD&E, keeping it aligned with business needs, KPIs, and emerging technologies.

• Data Management & Future Growth

  Core Data Ownership & Quality: Lead the technical execution of data tasks. Drive the cleansing, transformation, and validation of raw data, and define data structures within projects to ensure high data quality and integrity.

  Knowledge Management Pathway: Gradually take ownership of the RD&E data structure, helping to organize how information is stored and shared across teams.

Your Professional Experiences & Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Data Engineering, Computer Science, Industrial Engineering, or a related quantitative discipline.

• Professional Experience: 3+ years of professional experience, ideally working with a LIMS or managing databases/scientific software, alongside proven experience in project environments.

• Industry Experience: Prior experience in a Research & Development (R&D), Engineering, or Process Manufacturing environment is desirable to understand technical workflows (e.g., LIMS, scientific computing).

Skills & Attributes Required:

• Data & Practical Skills: Hands-on experience with data cleaning, transformation, validation, and establishing data quality standards within large project environments.

• Strategic & Business Thinking: Conceptual thinking skills to define project scopes, hypotheses, and measurable success metrics that align directly with the RD&E roadmap and Corporate Digital framework.

• Collaboration & Culture: Ability to build strong working relationships, facilitate technical discussions among technical teams, business stakeholders, and IT.

• Core Competencies: A structured, detail-oriented way of working, strong analytical and systems-thinking skills, and a collaborative mindset to work closely with lab personnel.

• Drive & Adaptability: Proactive interest in emerging digital and analytics best practices, with a focus on practical application and assessment for adoption.

• Language & Mobility: Fluent in English. Open to travel (~30%).

What we offer:
A salary with a future: Attractive compensation package & company pension scheme
Work-life balance: 30 days of vacation & flexible working hours
Family support: Childcare allowance & pme Family Service
Focus on professional growth: Individual development & training opportunities
Health matters: Health initiatives & BMI subsidy fund