Data Scientist - Hamburg, Deutschland - Baumlink
Beschreibung
Data Scientist/Machine Learning Expert
Germany
- Remote 8085k Euro
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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