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Sport Alliance

Cloud-based gym management and fintech SaaS

Senior Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in Germany€80k - €90k /yr

About the Job

Requirements

  • At least 5 years of hands-on experience building and deploying machine learning solutions in production.
  • Strong knowledge of statistics and classical machine learning, with judgment about which approach fits the problem, scale, and cost.
  • Experience owning machine learning projects end-to-end, including data preparation, modelling, deployment, and monitoring.
  • Strong hands-on Python skills with scikit-learn or similar frameworks, and SQL.
  • English proficiency at C1 level or above.
  • German language skills are a nice-to-have.
  • Experience with AWS, Terraform, or dbt is a nice-to-have.
  • Experience working with large language models or generative AI-based solutions is a nice-to-have.
  • Proactive approach and comfort working on problems that are not fully defined.
  • Clear communication and ability to work with technical and non-technical colleagues.

Responsibilities

  • Build and deploy production-ready machine learning solutions, focusing on classical machine learning and statistical methods.
  • Own models end-to-end, from data pipelines and modelling to deployment and monitoring.
  • Improve the scalability and reliability of existing machine learning data pipelines.
  • Work with software engineers and product managers to turn business problems into practical solutions.
  • Serve as the data science expert in a small Data Products team alongside two data engineers and one data analyst.
  • Identify product and business problems that machine learning and generative AI can solve, and choose the right approach.
  • Work with platform and LLM operations teams when additional infrastructure support is needed.
  • Help shape the machine learning and AI roadmap by identifying high-impact opportunities and influencing how machine learning capabilities evolve across products.

Desired Qualifications

  • Experience with AWS, Terraform, or dbt.
  • Experience working with large language models or generative AI-based solutions.
  • German language skills.

About the Company

Sport Alliance

Cloud-based gym management and fintech SaaS

Sports Alliance provides a cloud-based software backbone for the fitness industry, serving gyms, large franchises, and chains in Europe. It combines SaaS platforms and fintech features with lead generation to digitalize fitness operations. The core product is a digital infrastructure that gyms use to run daily operations, including studio and member management, scheduling, and payments, via platforms like Magicline for studio management and EuroFit24. How it works: the platform is accessed as a service in the cloud, integrating multiple service platforms to manage memberships, bookings, payments, and business processes, enabling scale across many locations. How it differentiates: it targets the European market and bundles gym-management software with fintech capabilities and lead-generation tools, focusing on scalability for large chains rather than lone studios. Its goal is to help fitness businesses operate more efficiently and grow by digitizing their workflows and payments.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$165M
Headquarters
Hamburg, Germany
Founded
2011

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