- Company: Get A Job.ai
- Location: Berlin (Hybrid)
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team at Get A Job.ai is representing a confidential fintech client in Berlin seeking a Data Scientist to join their Outbound Data Science team. This hybrid role offers the chance to work on cutting-edge machine learning and AI solutions that deliver real business impact in a fast-paced, international environment.
Responsibilities
- Optimize products based on machine learning and artificial intelligence as part of the data science team
- Work on advanced AI fields including Reinforcement Learning and Q-learning
- Identify, structure, and solve complex technical problems
- Deliver projects that create measurable business value
- Experiment with new technologies to address unique technical challenges
- Communicate effectively between data scientists, developers, product management, and business stakeholders
- Present technical product concepts to diverse audiences
What We're Looking For
- 2+ years of experience as a Data Scientist, ideally in a startup or fintech environment
- Strong Python skills with data processing packages (Pandas, Numpy)
- Familiarity with web frameworks such as Flask or FastAPI
- Knowledge of relational databases (MySQL or PostgreSQL)
- Proven track record of successful machine learning projects solving business problems
- Experience with agile development practices including TDD/BDD, continuous integration, refactoring, and code reviews
- Excellent English communication skills, both written and spoken
Preferred qualifications:
- Degree in Data Science, Computer Science, Mathematics, or related field
- Experience with machine learning frameworks (PyTorch, scikit-learn, transformers)
- Hands-on experience deploying open-source LLMs (hosting, fine-tuning, prompt engineering, evaluation)
- Reinforcement Learning experience
- Experience with cloud infrastructure solutions such as AWS
How We Work With You
When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your application to our client and guide you through their interview process. Please do not contact the client directly—all communication and coordination will go through our team to ensure the best experience for you.
What's Offered
- Location: Berlin, Germany (hybrid working policy)
- Employment type: Unlimited contract
- Flexible working hours with 28 vacation days
- Personal learning and development budget
- Language courses (German and English)
- Company pension plan and public transport support
- Flat hierarchy with transparent feedback culture
- International team environment with 30+ nationalities
- Structured onboarding and mentorship
Pay
Compensation details will be discussed during the screening process with our team.
Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work with our clients to ensure fair hiring processes.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Data Scientist (f/m/d)
- Employer Get A Job.ai
- Location Berlin (Hybrid)
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 7, 2026
- Apply by October 7, 2026
- Country Germany
- Overview Full job description on this page (400 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Scientist
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
Limited public data for this employer
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Occupation family: Data Scientist
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