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Senior Data Scientist – m/f/d
Sport Alliance GmbH. Build and deploy production-ready machine learning solutions, focusing on classical ML and statistical methods .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning solutions, with a strong focus on classical ML, statistical methods, and end-to-end project ownership. Proficient in Python, SQL, and collaborating with cross-functional teams to address business challenges through data-driven solutions.
Highest-signal resume keywords
Machine Learning Solutions DevelopmentEnd-to-End Project OwnershipPython ProgrammingStatistical AnalysisData Pipeline Improvement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningStatistical MethodsData PreparationModelingDeploymentMonitoringPythonSQLScikit-LearnClassical ML
Soft Skills
Proactive Problem SolvingClear CommunicationCollaboration
Tools & Technologies
AWSTerraformDbtLLMsGenAI
Industry Keywords
Data ScienceData ProductsML RoadmapInfrastructure Support
Tech Stack
Tools & technologiesAWSPythonScikit-LearnSQLTerraform
About the role
Key responsibilities & impact- Build and deploy production-ready machine learning solutions, focusing on classical ML and statistical methods
- Own models end-to-end, from data pipelines and modelling through deployment and monitoring
- Improve the scalability and reliability of existing ML data pipelines
- Collaborate 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 product and business problems that ML and GenAI can solve and select suitable approaches
- Work with platform and LLM Ops teams when additional infrastructure support is needed
- Help shape the ML and AI roadmap and influence how ML capabilities evolve across products
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 machine learning
- 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
- Proactive approach and comfort working on not fully defined problems
- Clear communication and ability to work with technical and non-technical colleagues
- English at C1 level or above
- German language skills are nice to have
- Experience with AWS, Terraform, or dbt is nice to have
- Experience working with LLMs or GenAI-based solutions is nice to have
Benefits
Comp & perks- Private medical care
- Sports card
- Access to Udemy Business and thousands of online courses
- Fully remote work or on-site collaboration at the Warsaw office
- Flexible working hours
- Experience in the Fitness and SaaS industry
- International and diverse team
- Company events and team-building activities