Data Scientist - Hamburg, Deutschland - Baumlink

Baumlink
Baumlink
Geprüftes Unternehmen
Hamburg, Deutschland

vor 1 Woche

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

Data Scientist/Machine Learning Expert
Germany

  • Remote 8085k Euro
We are a forward-thinking organization dedicated to pushing the boundaries of data-driven business

solutions. As a leading partner in cutting-edge technology platforms, we champion innovation in

digital strategies. Joining our dynamic team means becoming part of a global and diverse tech

environment with opportunities for continuous learning and professional growth.


How You Will Make an Impact:

  • As an integral member of our international team of Data Scientists and Machine Learning experts, your responsibilities will include:
  • Solving Complex Business Challenges:
  • Developing and Deploying Minimally Viable Products:
  • Leading the development and deployment of mínimally viable products to meet business needs effectively.
  • Consulting Clients in Data Science/ML/AI:
  • Providing expertise and guidance to clients in the areas of data science, machine learning and artificial intelligence.
  • Collaborating Across Technical Departments:
  • Working collaboratively with various technical departments to facilitate seamless deployments.

Your Qualifications:


  • Master's Degree: in a relevant field such as mathematics, statistics, physics, data science, or computer science.
  • Professional Experience: A minimum of 2 years in analytics, machine learning, or AI.
  • Technical Proficiency: Proficient in programming languages like Python and SQL.
  • Deep Knowledge: Strong understanding of statistical techniques and machine learning, including the technical and methodological aspects of running ML models in production.
  • Customer Orientation: Strong analytical thinking, customeroriented mindset, and effective communication skills.
  • Language Skills
    :Fluent in written and spoken English and German

Nice to Have:


  • Platform Experience: Familiarity with analytics platforms, including Google Analytics and Google Cloud Platform.
  • Industry Exposure: Experience in analytics within various industries, such as marketing analytics, business intelligence, or digital marketing.
  • Team Collaboration: Comfortable working in a collaborative team environment, with experience in midsenior level roles.

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