Data Scientist (m/f/x)

  • tesa
  • Hamburg, Germany
  • 04/05/2022
Full time Data Science Data Analytics Data Management Biostatistics DevOps

Job Description

Location:
Germany, Norderstedt, Hamburg
Level:
Professionals
Function:
Information Technology
What you will do

You are passionate about working on interesting problems that call for creative machine learning approaches. You are willing to take responsibility in projects for intelligent automation. We give you the opportunity!

As a Data Scientist (m/f/x), you are working in a multi-disciplinary project team within our Product Development, Sales or Supply Chain / Production Department and will work closely together with the respective subject matter experts and project stakeholders. You are responsible for the exploration and analysis of different data sources covering field-, performance-, financial-, production-, and maintenance data. You will develop new value-adding data science applications using state of the art technologies and methods in a mixed team of internal and external resources.

You will be responsible for:

  • Drive business value by using data driven models
  • Define requirements for the selection of the external partners
  • Steer external teams
  • Creating data adapters for different data sources
  • Performing exploratory and targeted data analyses, visualizing data, identifying correlations
  • Training, testing, and deployment of data-driven models
  • Developing data science applications that are based on statistical methods or ML/AI models
  • Promoting data science activities and projects
  • Communicating methods, findings, and hypotheses with stakeholders
  • Defining and promoting best practices and internal standards on architecture, coding, documentation, and version control
  • The opportunity to take responsibility while working alongside other data science colleagues
  • Active involvement analyzing requirements and implementing solutions
What you will need
  • University degree in Engineering, Computer Science, Mathematics or equivalent
  • Hands-on experience (at least 3 years) n creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
  • Experience in the field of lifetime prediction, and strategies for event-based maintenance
  • Experience querying databases such as SQL
  • A strong interdisciplinary technical interest and an understanding of production machineries
  • Knowledge of manufacturing industry
  • Demonstrated skills in data management methods, feature extraction, prescriptive analytics
  • Knowledge of life-time prediction models
  • Programming skills e.g. C, C++, Python
  • Experience with Cloud-based solutions
  • Strong analytical and communication skills as well as problem-solving skills
  • Excellent German and English skills
What you can expect

At tesa, we create adhesive solutions that improve the work, products and lives of our customers.

How we do it? At tesa, we dare to create! Therefore, we team up, we challenge ourselves and we set the pace. But we don’t just do that somehow. We act responsibly and always focus on our customers. Because only then we are able to achieve our goals and continuously improve our results.

We are an Equal Opportunity Employer and regard diversity as important for our long-term success. We expressly reject all forms of direct and indirect discrimination. All qualified applicants will be equally considered for employment regardless of their national origin, background, personal preferences and believes.

By applying you consent for the use of your resume for future opportunities within tesa.

If you want to find out more about tesa please visit us on our corporate web-page www.tesa.com and social media.

We offer:

  • Attractive remuneration
  • Flexible working
  • Further education and development perspectives
  • Interdisciplinary and cross-departmental career opportunities
  • Occupational pension provision
  • Numerous offers for employees, such as health promotion, sports and leisure activities, employee discounts, and much more (including tesa Bike, the company's own fitness studio, prevention options)