Senior Data Scientist
First seen by Alion on Nov 12, 2026.
Join Sport Alliance’s Data Products team and build ML solutions for Magicline and PerfectGym Next, used by thousands of fitness businesses and millions of members.
You’ll work closely with engineers and product managers to take ML use cases from idea to production, with plenty of ownership and the opportunity to shape how we use ML and AI across our products.
Your position in our team
Build and deploy production-ready ML solutions, with a focus on classical ML and statistical methods.
Own your models end-to-end — from data pipelines and modelling to deployment and monitoring.
Improve the scalability and reliability of our existing ML data pipelines.
Work closely with software engineers and product managers to turn business problems into practical solutions.
Be the Data Science expert in a small Data Products team alongside two data engineers and one data analyst.
Identify where ML and GenAI can solve real product and business problems, and choose the right approach.
Work with our platform and LLM Ops teams when additional infrastructure support is needed.
Help shape our ML and AI roadmap, identifying high-impact opportunities and influencing how ML capabilities evolve across our products.
Your profile
5+ years of hands-on experience building and deploying machine learning solutions in production.
Strong knowledge of statistics and classical ML, with good judgment about which approach fits the problem, scale, and cost.
Experience owning ML projects end-to-end, including data preparation, modelling, deployment, and monitoring.
Strong hands-on Python skills (scikit-learn or similar frameworks) and SQL.
You’re proactive and comfortable working on problems that aren’t fully defined yet.
You communicate clearly and work well with both technical and non-technical colleagues.
English at C1 level or above.
Nice to have
Experience with AWS, Terraform, or dbt.
Experience working with LLMs or GenAI-based solutions.
German language skills.
Your benefits with us
Benefits package – private medical care and a sports card to support your health and well-being
Access to Udemy Business – boost your skills with thousands of high-quality online courses
Flexible work model – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw
Flexible Working Hours – adjust your schedule to fit your lifestyle
Unique experience in the Fitness and SaaS industry – join a market-leading company in a dynamic, fast-growing industry
International team – work alongside talented colleagues from around the world in a diverse and inclusive environment
Unforgettable company events – take part in engaging team-building activities and memorable celebrations
Tech stack
- Python
- ML
- SQL
- Data Science
- Statistics
- scikit-learn