{"id":79209,"title":"Senior Data Scientist (m/f/d)","company":"Sport Alliance GmbH","city":null,"region":null,"location":"Remote (Germany)","work_model":"remote","employment_type":"full_time","employment":["full_time"],"roles":["data_science"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-05T11:52:14.814000+00:00","tools":["Python","scikit-learn","SQL","AWS","Terraform","dbt","LLM"],"seniority":"senior","years_experience_min":5,"german_requirement":"required","german_level":"unspecified","english_requirement":"required","english_level":"C1","team_language":"unknown","confidence":0.7,"method":"rules","language_badge":"German required","language_evidence":"German language skills.","requirements_snippet":"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. …","url":"https://jobs.eu.lever.co/sportalliance/a0b01f5c-42e8-47ab-9b2e-4278c1ba3401","source":"lever","agency":null,"description_text":"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.\nYou’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.\n\nYour position in our team\n•\nBuild and deploy production-ready ML solutions, with a focus on classical ML and statistical methods.\n\n•\nOwn your models end-to-end — from data pipelines and modelling to deployment and monitoring.\n\n•\nImprove the scalability and reliability of our existing ML data pipelines.\n\n•\nWork closely with software engineers and product managers to turn business problems into practical solutions.\n\n•\nBe the Data Science expert in a small Data Products team alongside two data engineers and one data analyst.\n\n•\nIdentify where ML and GenAI can solve real product and business problems, and choose the right approach.\n\n•\nWork with our platform and LLM Ops teams when additional infrastructure support is needed.\n\n•\nHelp shape our ML and AI roadmap, identifying high-impact opportunities and influencing how ML capabilities evolve across our products.\n\nYour profile\n•\n5+ years of hands-on experience building and deploying machine learning solutions in production.\n\n•\nStrong knowledge of statistics and classical ML, with good judgment about which approach fits the problem, scale, and cost.\n\n•\nExperience owning ML projects end-to-end, including data preparation, modelling, deployment, and monitoring.\n\n•\nStrong hands-on Python skills (scikit-learn or similar frameworks) and SQL.\n\n•\nYou’re proactive and comfortable working on problems that aren’t fully defined yet.\n\n•\nYou communicate clearly and work well with both technical and non-technical colleagues.\n\n•\nEnglish at C1 level or above.\n\nNice to have\n•\nExperience with AWS, Terraform, or dbt.\n\n•\nExperience working with LLMs or GenAI-based solutions.\n\n•\nGerman language skills.\n\nYour salary\n• We offer a salary range of EUR 80,000 – EUR 90,000 per year\n• Final compensation will be based on experience, skills, and overall fit for the role\n\nYour benefits with us\n• 30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life\n• Flexible Work Model – 100% mobile work within Germany\n• Fitness & Well-being (Choose 1 of 2): Stay active your way! Choose either our free Move Republic Program to earn points for rewards, OR join EGYM Wellpass for just a €20/month co-pay to access a massive network of gyms, pools, and studios (we cover the rest!)\n• Access to Udemy – boost your skills with thousands of high-quality online courses\n• Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost\n• Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria\n• Flexible Working Hours – adjust your schedule to fit your lifestyle\n• Employee Discounts – access top deals in Germany and Austria via our benefits portal","responsibilities_text":null,"requirements_text":"•\n5+ years of hands-on experience building and deploying machine learning solutions in production.\n•\nStrong knowledge of statistics and classical ML, with good judgment about which approach fits the problem, scale, and cost.\n•\nExperience owning ML projects end-to-end, including data preparation, modelling, deployment, and monitoring.\n•\nStrong hands-on Python skills (scikit-learn or similar frameworks) and SQL.\n•\nYou’re proactive and comfortable working on problems that aren’t fully defined yet.\n•\nYou communicate clearly and work well with both technical and non-technical colleagues.\n•\nEnglish at C1 level or above.\n•\nExperience with AWS, Terraform, or dbt.\n•\nExperience working with LLMs or GenAI-based solutions.\n•\nGerman language skills.\nYour salary\n• We offer a salary range of EUR 80,000 – EUR 90,000 per year\n• Final compensation will be based on experience, skills, and overall fit for the role\nYour benefits with us\n• 30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life\n• Flexible Work Model – 100% mobile work within Germany\n• Fitness & Well-being (Choose 1 of 2): Stay active your way! Choose either our free Move Republic Program to earn points for rewards, OR join EGYM Wellpass for just a €20/month co-pay to access a massive network of gyms, pools, and studios (we cover the rest!)\n• Access to Udemy – boost your skills with thousands of high-quality online courses\n• Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost\n• Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria\n• Flexible Working Hours – adjust your schedule to fit your lifestyle\n• Employee Discounts – access top deals in Germany and Austria via our benefits portal","status":"open","duplicate_of":null,"first_seen":"2026-11-04T00:12:52.812806+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Python","scikit-learn","SQL","AWS","Terraform","dbt","LLM"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"English at C1 level or above.","source":"rules"},{"language":"german","requirement":"required","quote":"German language skills.","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required (C1)","company_id":1636}