Data Science Manager

twomynds

Data Science Manager bei twomynds, einer End-to-End Data-&-AI-Beratung. Technische Leitung skalierbarer Datenplattformen, produktiver ML-Lösungen und interdisziplinärer Engineering-Teams.

Posted 9/5/2026full-timeBonn • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and ML Engineering, with a strong focus on building and operating scalable data pipelines and platforms. Proficient in Python, SQL, and PySpark, with experience in cloud environments and MLOps practices.

Highest-signal resume keywords

Data EngineeringML EngineeringPython ProgrammingCloud Environments (AWS/Azure/GCP)Leadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Warehouse DesignMLOpsSQLPySparkAPIsCI/CDOrchestration Tools (Airflow)Technical Roadmap DevelopmentCode Review

Soft Skills

Team LeadershipCoachingGoal-Oriented ExecutionCollaborationCommunication

Industry Keywords

Data & AI ProjectsScalabilityQuality AssuranceAutomationBusiness ModelsTechnical StandardsMonitoringData Quality ProcessesTechnical Trade-OffsFluent German (C1+)

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Take end-to-end responsibility for the technical delivery of Data & AI projects—from architecture and implementation through to stable operations
Ensure quality, on-time delivery, and scalability
Design and build scalable data pipelines, data warehouses/lakehouses, and cloud platforms
Deploy models and AI use cases to production and operate them with MLOps, monitoring, and data quality processes
Develop hands-on with Python, SQL, PySpark, and APIs
Conduct code reviews and establish best practices and reusable components
Lead, coach, and develop an interdisciplinary team of Data Scientists and Engineers
Drive technical standards, automation, and quality assurance
Make tech stack decisions and develop a technical roadmap
Collaborate closely with clients and internal teams
Make technical trade-offs transparent and translate solutions into measurable business value

Requirements

What you’ll need

Several years of experience in Data Engineering and/or ML Engineering
Experience independently building and operating production data pipelines, platforms, or ML systems
Initial leadership or team lead experience
Ability to provide technical leadership and support people’s development
Strong command of Python, SQL, and PySpark
Experience with cloud environments (AWS/Azure/GCP)
Experience with orchestration tools, such as Airflow
Experience with CI/CD
MLOps knowledge is a plus
Ability to quickly become familiar with new technologies
Pragmatic, goal-oriented execution skills and a strong sense of ownership
Understanding of business models and long-term business objectives
Fluent German (C1+)
Good English skills are a plus

Benefits

Comp & perks

Professional development budget
Mentoring and individual career paths
Modern working models with remote options
Flexible working hours and extensive remote flexibility
Offsites
Workations
Urban Sports / subsidy for an Urban Sports Club membership
Job ticket subsidy
Opportunity to take on responsibility quickly and advance internally
Professional and personal development
Work on exciting projects with well-known brands in media, sports, telecommunications, and industry