Job
- Level
- Lead
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop scalable data infrastructures and ML solutions, lead a team of Data Scientists and Engineers, and deploy AI use cases into production.
Job Technologies
Your role in the team
- Do you want to not only design Data & AI solutions but also take technical responsibility for them - and lead and develop a team professionally? In your role as Data Science Manager, you are responsible for the end-to-end technical implementation of our Data & AI projects: you build scalable data infrastructure and ML solutions, bring AI use cases into production, and lead an interdisciplinary team of Data Scientists and Engineers. You stay hands-on and set technical standards that the team follows.
- Technical Leadership & Delivery: You are responsible for the end-to-end technical implementation of our Data & AI projects - from architecture through implementation to stable operation - and ensure quality, adherence to deadlines, and scalability.
- Building scalable data infrastructure: You design and develop data pipelines, Data Warehouses/Lakehouses, and platforms (ETL/ELT, Cloud) in a way that data is reliable, performant, and usable.
- Bringing AI & ML into Production: You transition models and AI use cases into operational deployment (Deployment, MLOps, Monitoring, Data Quality) and ensure they deliver value in everyday use.
- Hands-on Engineering: You actively contribute technically (Python, SQL, PySpark, APIs), review code, and implement best practices and reusable components.
- Team Leadership & Enablement: You lead, coach, and develop a team of Data Scientists and Engineers, establish technical standards, and create clarity around expectations and responsibilities.
- Technical Roadmap & Standards: You make well-informed tech stack decisions, drive technical standards, automation, and quality assurance, always thinking in terms of scalable and maintainable solutions.
- Translate numbers & solutions into decisions: You work closely with clients and internal teams, make technical trade-offs transparent, and translate solutions into measurable business value.
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Our expectations of you
Qualifications
- Tool stack: You are proficient in Python, SQL, PySpark, cloud environments (AWS/Azure/GCP), orchestration (e.g., Airflow), CI/CD, and ideally MLOps - and you quickly familiarize yourself with new technologies.
- Implementation competence & ownership: You bring solutions pragmatically and goal-oriented from the idea to operation and take responsibility for the results and quality.
- Strategic and business-oriented thinking: You understand business models, align technical decisions with long-term goals, and thus create operational and strategic value.
- Languages: Fluent German skills (C1+), good English skills are a plus
Experience
- Extensive engineering experience: You have several years of experience in Data Engineering and/or ML Engineering and have built and operated productive data pipelines, platforms, or ML systems yourself.
- Leadership and coaching skills: You bring initial leadership or lead experience, develop people further, and can technically guide a team without losing the technical aspect.
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What we offer
- You work in a young, growing team with the opportunity to actively shape twomynds and be very close to business processes and decisions.
- Opportunity to quickly take on responsibility, advance internally, and develop professionally as well as personally – supported by mentoring, sparring, and a training budget.
- Flexible working hours and high remote flexibility (1 fixed office day per week in Cologne).
- You work on exciting projects with well-known brands from media, sports, telecommunications, and industry - from strategic concepts through enablement to implementation.
- Subsidy for the job ticket and Urban Sports Club membership.
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Topics You Will Work On
Job Locations
About Your Employer
twomynds
twomynds is a modern Data & AI service provider based in Leverkusen and Bonn, supporting companies in their digital transformation. The team develops tailored solutions ranging from data strategy to the implementation of AI applications, focusing on results-oriented work with a clear emphasis on measurable success. Founded in 2022, twomynds primarily targets clients from the DAX-40 sector.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Data Science Manager
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
