Senior Data Scientist (m/f/d)

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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 EUR 82,000 – EUR 90,000 per year Final compensation will be based on experience, skills, and overall fit for the role Your benefits with us 30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life Flexible Work Model – 100% mobile work within Germany 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!) Access to Udemy –boost your skills with thousands of high-quality online courses Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria Flexible Working Hours – adjust your schedule to fit your lifestyle Employee Discounts –access top deals in Germany and Austria via our benefits portal Originally posted on Himalayas

加入Sport Alliance的Data Products团队，为Magicline和PerfectGym Next构建ML解决方案，这些方案被数千家健身企业和数百万会员使用。你将与工程师和产品经理紧密合作，将ML用例从想法推进到生产环境，拥有充分的自主权，并有机会塑造我们在产品中运用ML和AI的方式。你在我们团队中的位置 构建并部署生产就绪的ML解决方案，重点关注经典ML和统计方法。端到端负责你的模型——从数据管道和建模到部署和监控。提升我们现有ML数据管道的可扩展性和可靠性。与软件工程师和产品经理紧密合作，将业务问题转化为切实可行的解决方案。在一个由两名数据工程师和一名数据分析师组成的小型Data Products团队中担任Data Science专家。识别ML和GenAI可以在哪些方面解决真实的产品和业务问题，并选择正确的方法。在需要额外基础设施支持时，与我们的平台和LLM Ops团队合作。帮助塑造我们的ML和AI路线图，识别高影响力机会，并影响ML能力在我们产品中的演进方式。你的背景 5年以上在生产环境中构建和部署机器学习解决方案的实操经验。扎实的统计学和经典ML知识，能够就哪种方法适合问题、规模和成本做出良好判断。具备端到端负责ML项目的经验，包括数据准备、建模、部署和监控。扎实的Python实操能力（scikit-learn或类似框架）和SQL。你积极主动，能够自如地处理尚未完全定义的问题。你沟通清晰，能与技术和非技术同事良好合作。英语达到C1或以上水平。加分项 具备AWS、Terraform或dbt经验。具备LLMs或基于GenAI的解决方案经验。德语能力。你的薪资 我们提供每年82,000欧元–90,000欧元的薪资范围 最终薪酬将基于经验、技能和与岗位的整体匹配度 我们为你提供的福利 30天年假，每周工作5天——享受额外带薪休假来休息、充电并平衡工作与个人生活 灵活工作模式——在德国境内100%移动办公 健身与健康（2选1）：以你的方式保持活力！选择我们的免费Move Republic Program赚取积分兑换奖励，或以每月仅20欧元的自付费用加入EGYM Wellpass，访问庞大的健身房、泳池和工作室网络（其余费用我们承担！） Udemy访问权限——通过数千门高质量在线课程提升你的技能 Deutschland Ticket补贴——经济通勤——我们承担你的部分票务费用 公司养老金计划（bAV）——在德国或奥地利获得高于平均水平的雇主缴款 弹性工作时间——调整你的日程以契合你的生活方式 员工折扣——通过我们的福利门户获取德国和奥地利的顶级优惠 最初发布于Himalayas

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