TL;DR
Data Scientist: Developing and evaluating machine learning models to personalise recommendations and improve user engagement with an accent on statistical modelling, experimentation, and data quality. Focus on building ML pipelines, supporting product impact, and collaborating with cross-functional teams in a fast-paced startup environment.
Location: On-site in Berlin, Germany
Company
hirify.global is a fast-growing startup aiming to become Germany's second bootstrapped unicorn, focused on innovative marketing solutions rewarding user engagement.
What you will do
- Build and evaluate machine learning models for personalised recommendations and user engagement
- Support development and optimisation of incentives and reward structures
- Improve data pipelines and data quality in collaboration with analytics and engineering teams
- Contribute to documentation, measurement plans, and experimentation frameworks
- Define and track KPIs to ensure product impact
- Take ownership of smaller projects under senior guidance and collaborate with product managers and engineers
Requirements
- Must be based in Berlin for on-site work
- Strong academic background in data science, statistics, computer science, or related fields
- Experience with Python, SQL, and machine learning tools like scikit-learn, TensorFlow, or PyTorch
- Solid understanding of statistical modelling, experimentation, and data analysis
- Ability to communicate analytical findings and collaborate cross-functionally
Nice to have
- Experience with ML pipelines or cloud environments
- Exposure to incentive systems, gaming environments, or user behaviour datasets
- Interest in experimentation, automation, or consumer-facing digital products
Culture & Benefits
- Equity offered to Berlin-based employees
- Profitable startup with growth opportunities
- Modern central Berlin office with transport subsidy, meals, and wellness benefits
- Language learning and sports club memberships
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