Senior Data Scientist: ML Lead, Remote & Flexible

Sportalliance; Polska; Hybrid; PLN 234,000 - 312,000; Full time

Benefits offered by this job

Private medical care

Sports card

Udemy Business

Remote work option

Office in Warsaw

Flexible hours

Team events

Job summary

Sport Alliance’s Data Products team builds ML solutions for Magicline and PerfectGym Next, used by thousands of fitness businesses and millions of members.

You’ll work with engineers and product managers to take ML use cases from idea to production, with ownership and the opportunity to shape how we use ML and AI across our products.

Qualifications

• 5+ years of hands-on experience building and deploying machine learning solutions in production.
• Strong knowledge of statistics and classical ML, with good judgement 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) 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.

Responsibilities

• 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.

Skills

Python

SQL

Statistics

ML in production

End-to-end ownership

Job description

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 salary

• We offer a salary range of PLN 21,000 – PLN 28,000 gross per month (UoP).

• Final compensation will be based on experience, skills, and overall fit for the role

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