Senior Data Scientist – m/f/d

Sport Alliance GmbH

. Build and deploy production-ready ML solutions, focusing on classical ML and statistical methods .

Posted 10/7/2026full-timeRemote • GermanySenior💰 €82,000 - €90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and deploying machine learning solutions, with a strong focus on classical ML, statistics, and end-to-end project ownership. Proficient in Python, SQL, and cloud technologies, with the ability to communicate effectively across technical and non-technical teams.

Highest-signal resume keywords

Machine Learning Solutions DevelopmentEnd-to-End Project OwnershipPython ProgrammingAWS ExperienceStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical MethodsData PreparationModelingDeploymentMonitoringPythonSQLScikit-LearnTerraform

Soft Skills

Proactive Problem SolvingClear CommunicationCollaboration

Tools & Technologies

AWSTerraformDbtLLMsGenAI

Industry Keywords

Data ScienceData PipelinesML RoadmapFitness IndustryProduct Management

Tech Stack

Tools & technologies

AWSPythonScikit-LearnSQLTerraform

About the role

Key responsibilities & impact

Build and deploy production-ready ML solutions, focusing on classical ML and statistical methods
Own models end-to-end, from data pipelines and modelling to deployment and monitoring
Improve the scalability and reliability of existing ML 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
Identify where ML and GenAI can solve product and business problems and choose the right approach
Work with platform and LLM Ops teams when additional infrastructure support is needed
Help shape the ML and AI roadmap and identify high-impact opportunities across products
Build ML solutions for Magicline and PerfectGym Next, used by fitness businesses and their members

Requirements

What you’ll need

5+ years of hands-on experience building and deploying machine learning solutions in production
Strong knowledge of statistics and classical ML
Experience owning ML projects end-to-end, including data preparation, modelling, deployment, and monitoring
Strong hands-on Python skills, including scikit-learn or similar frameworks
SQL skills
English at C1 level or above
Experience with AWS, Terraform, or dbt
Experience working with LLMs or GenAI-based solutions
German language skills are nice to have
Proactive and comfortable working on problems that aren’t fully defined yet
Clear communication and ability to work with technical and non-technical colleagues

Benefits

Comp & perks

30 Days Annual Leave with a 5-day workweek
Flexible Work Model – 100% mobile work within Germany
Fitness & Well-being: free Move Republic Program or EGYM Wellpass for €20/month co-pay
Access to Udemy
Deutschland Ticket Subsidy
Company Pension Scheme (bAV) with above-average employer contribution in Germany or Austria
Flexible Working Hours
Employee Discounts in Germany and Austria via benefits portal