Senior Data Scientist (m/f/d)

Remote; San Francisco (CA); Remote; USD 92,000 - 100,000; Full time

Benefits offered by this job

30 Days Annual Leave

Flexible Work Model – 100% mobile in"

Move Republic/EGYM Wellpass options

Udemy access

Deutschland Ticket Subsidy

Company Pension Scheme (bAV)

Flexible Working Hours

Employee Discounts

Job summary

Sport Alliance is seeking a Data Scientist to join the Data Products team and build ML solutions for Magicline and PerfectGym Next, adopted by thousands of fitness businesses and millions of members.

You will collaborate with engineers and product managers to bring ML use cases from idea to production, owning models end-to-end and shaping ML capabilities across products. Strong Python (scikit-learn) and SQL skills, with English at C1+ level, are essential.

Qualifications

• 5+ years hands-on experience building and deploying ML solutions in production.
• Strong knowledge of statistics and classical ML with judgment on problem choice, scale and cost.
• Experience owning ML projects end-to-end, including data preparation, modelling, deployment and monitoring.

Responsibilities

• Build and deploy production-ready ML solutions focusing on classical ML and statistical methods.
• Own models end-to-end from data pipelines to deployment and monitoring.
• Improve scalability and reliability of existing ML data pipelines.

Skills

ML production

Statistics

Python

SQL

End-to-end ownership

Communication

English C1+

Tools

scikit-learn

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 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