Data Scientist – Machine Learning Engineer (m/f/d)

As a medium-sized company and family-run in its second generation, we are one of the leading companies in the development and implementation of digital solutions in the automotive industry as well as in the areas of analytics, big data, business intelligence, data driven marketing and customer experience management. We offer an exciting collaboration with the global players of the automotive industry, family-friendly working time models as well as a corporate culture with short communication channels that make the best possible use of your potential and grow with us. People who are looking for exciting tasks and individual opportunities fit in with us. For our location in vibrant Berlin, we are looking for a Data Scientist – Machine Learning Engineer (m/f/d)


Your area of ​​responsibility:
  • Design, develop and implement data science and machine learning models in proof-of-concepts and prototypes
  • Develop, optimize, standardize and implement data science and machine learning solutions at scale in data pipelines and distributed systems (e.g. Hadoop/Spark/Kubernetes ecosystem)
  • Engineer at scale using service-oriented architecture, containerized applications and functions as a service, especially in cloud service environments (i.e. IaaS, PaaS, SaaS, FaaS)
  • Optimize data science and machine learning models using high performance computing (e.g. GPGPU) and real-time techniques (e.g. messaging/streaming services, reactive programming)
Your profile:
  • Master’s degree in Statistics/Econometrics/Data Science, or related field with a quantitative focus (Mathematics/Physics/Economics), PhD welcome but not required
  • Experience in and/or strong interest in analytics in the (digital) Marketing field (pricing/promotion optimization, product optimization, category management, Customer Lifetime Value modeling, sales forecasting, etc.) would be a plus
  • Very good statistical modeling skills (machine learning, econometric modeling)
  • Experience in development of custom machine learning models from prototyping to scalable implementation would be a strong plus
  • Strong product mindset – develop models with scalable implementation in mind
  • Ideally: Experience with software development practices
  • Good understanding and demonstrated experience of statistical techniques and machine learning algorithms, predictive analytics is a must, Bayesian statistics would be a plus
  • Good knowledge of at least one scripting language (Python, R)
  • Expert skills in at least one objective oriented programming language  (Scala, Python, Java, C++)
  • Experience in working in Big Data environments and using Big Data frameworks (Hive, Spark, Hadoop),
  • Experience with scalable Machine Learning frameworks like H2O or Spark MLlib would be a plus
  • Solid knowledge of cloud computing environments and tooling (AWS, Azure)

Have we piqued your interest? Would you like to work on our company success as Data Scientist – Machine Learning Engineer (m/f/d)? Then we look forward to your application including the earliest possible starting date and your salary expectations, please only by e-mail to:

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