Senior Data Scientist (m/f/d)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 28d ago
The date the source published, not the day we noticed it (2026-10-05). Last seen at its source 3h ago.
We have tracked this listing since 27 Oct 2026 (6 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote (Poland)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $122.9k–184.9k/yr
Middle 50% of 8 listings that do state pay — Operations · Senior · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 6d ago · last seen 3h ago
The listing
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
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5+ years of hands-on experience building and deploying machine learning solutions in production.
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Strong knowledge of statistics and classical ML, with good judgment about which approach fits the problem, scale, and cost.
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Experience owning ML projects end-to-end, including data preparation, modelling, deployment, and monitoring.
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Strong hands-on Python skills (scikit-learn or similar frameworks) and SQL.
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You’re proactive and comfortable working on problems that aren’t fully defined yet.
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You communicate clearly and work well with both technical and non-technical colleagues.
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English at C1 level or above.
Nice to have
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Experience with AWS, Terraform, or dbt.
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Experience working with LLMs or GenAI-based solutions.
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German language skills.
Your salary
Your benefits with us
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Benefits package – private medical care and a sports card to support your health and well-being
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Access to Udemy Business – boost your skills with thousands of high-quality online courses
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Flexible work model – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw
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Flexible Working Hours – adjust your schedule to fit your lifestyle
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Unique experience in the Fitness and SaaS industry – join a market-leading company in a dynamic, fast-growing industry
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International team – work alongside talented colleagues from around the world in a diverse and inclusive environment
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Unforgettable company events – take part in engaging team-building activities and memorable celebrations