(Senior) Data Scientist (m/f/d)

Lehmann + Pioneers Digital GmbH

Leinfelden-Echterdingen

On-site

EUR 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Performance-related bonus
Flexible work environment
Professional development
Startup vibe in a stable group
Cross-functional teams
Modern equipment

Job summary

IT-Systemhaus der Bundesagentur für Arbeit seeks a (Senior) Data Scientist to design and deploy data-driven solutions across diverse industries. The ideal candidate will have a strong degree in math/science/CS or IT‑oriented economics, plus several years in data science modeling, ML, text mining, and predictive maintenance.

Applicants should be proficient in R, Python, Scala or Java, with the ability to clearly visualize results and communicate in German and English.

Qualifications

  • Degree in math, natural sciences, CS or economics with IT background.
  • Several years of experience in data science model development and ML.
  • Data preparation and cleansing expertise.
  • Strong programming in R, Python, Scala or Java.
  • Ability to visualize data and results clearly.
  • Experience across multiple industries.

Responsibilities

  • Develop data science models using statistical methods and ML.
  • Prepare and cleanse data for analysis and modeling.
  • Visualize data insights for stakeholders.
  • Collaborate with cross-functional teams on projects.
  • Apply innovative tools and modern project methods.

Skills

Mathematics/Statistics background
Data science models
Data cleansing
Programming languages (R, Python, Java
Data visualization
Industry knowledge
German & English (written/spoken)
Customer orientation
Innovative tools & project management
Informatiker/in

Education

Exceptional degree in mathematics/sciences/CS or economics with IT

Tools

R
Python
Scala
Java

Job description

(Senior) Data Scientist (m/f/d)
Qualifications
  • Exceptional degree in the field of mathematics, natural sciences, computer science, or a degree course in economics with a background in information technology
  • Several years of experience in the development of data science models with statistical modelling methods, machine learning, artificial intelligence, text mining or predictive maintenance
  • Deep understanding of data structures and necessary experience in preparing and cleansing data
  • Sound knowledge of programming languages such as R, Python, Scala or Java
  • Ability to clearly visualise data and analysis results
  • Specific experience and knowledge in several industries
  • High level of written and spoken German and English
  • Enjoy creation process and high customer orientation
  • Preference for working with innovative tools, project management methods and the latest technologies
  • Informatiker/in
Benefits
  • Agile and innovative environment with exciting customer projects in different industries
  • Fast growing company with a start‑up character, embedded in a stable international group of companies
  • Cross‑functional teams with experienced and inspiring colleagues
  • Uncompromisingly professional equipment for efficient and joyful work
  • Free space for continuous learning and further development
  • Attractive remuneration with performance‑related bonus payments
  • Flexible work in order to reconcile work and private life ("work‑life‑flow")
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