Teamlead Data Science & Analytics (f/m/d)

• Zürich
• 80% - 100%
• Product Development
• Deutsch

Galaxus culture flows from our values: cooperative, innovative, piratesque, responsible, and ambitious. We give feedback straight-up granting everyone the power to own their actions and grow through epic wins and rough patches. “Grow with us. Be brave, stay true" is the mantra that inspires transparency, boosting a culture of openness and knowledge-sharing.

As the top Swiss e-commerce platform, with a crew of over 3,000 across Switzerland, Germany, and Serbia, Galaxus is on the move to new markets. We're on the lookout for characters who know that it’s diversity that gets us to grow and succeed. Being bold and out-of-the-box isn't just encouraged — it's basically our brand.

We are looking for a technically versed and experienced Teamlead for our Data Science & Analytics team which serves the finance area. A successful candidate will not only be responsible for leading a cross-functional team of data scientists, machine learning engineers, and analytics engineers, but will also be contributing to the technical output of the team. If you have excellent communication skills, are hands-on, can lead by example, and are passionate about delivering business value to stakeholders, keep reading.

Deine Aufgaben

• Lead a data team of ~7 alongside the product owner, guiding data scientists, ML engineers, and analytics engineers, and actively contribute to various initiatives.
• Participate in developing and implementing data and ML models, focusing on finance-related products like financial risk, credit rating, and document extraction.
• Develop the team's hard and soft skills, ensuring motivation, growth, and well-being.
• You are responsible for the technical aspects of our products including code quality, system architecture and technical planning. You are a sparring partner for the team for architectural and conceptual discussions.
• Ensure the team's output aligns with the company's strategic objectives and key results.
• Constant learning and gathering business know-how on how the financial processes work and evolve over time.

Deine Fähigkeiten

• 5+ years of experience as a data scientist or ML engineer, with a relevant degree or equivalent experience.
• Proven experience leading cross-functional technical teams and familiarity with agile methodologies. Financial domain experience is a plus.
• Strong foundation in probability, statistics, mathematics, and ML techniques.
• Very good expertise in SQL, Python, and related libraries (e.g., pandas, scikit-learn, Pytorch, TensorFlow).
• Initial experience with bringing models to production in a cloud-based environment using technologies like Kubernetes, Google Cloud Services, Airflow, and Kafka is advantageous. Experience with ETL, data modelling, data analysis and reporting using BigQuery, Dataform, and Tableau is a plus.
• Strong problem-solving skills, technical understanding, and ability to handle complex scenarios independently or in a team.
• Fluent in English and German.
• Feeling comfortable with constant change is one of your strengths.
• You thrive and promote working in a transparent environment, where open feedback, assertive communication, diversity, collaboration, self awareness and self responsibility is highly valued.

Warum startest du bei uns?

• Culture is Everything: Our values – cooperative, innovative, piratesque, responsible, and ambitious – form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
• Courage and Unconventionality: Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
• Uncomplicated: Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters – your development, our collective achievements, and tackling challenges with adaptability and resilience.
• Flexibility and Freedom: We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
• Fast Lane Growth: With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2'000 EDU-Points.
• Other Benefits: Enjoy discounted employee conditions in our shops and much more.

We team up for Success

At Galaxus, we grow talent by teaming up with people from diverse backgrounds to build the best team out there. We stand for equal treatment and opportunities for everyone, no matter your ethnic or national origin, religion, sexual orientation, marital status, gender, gender identity, age, disability, or any other status. Diversity is our fuel for innovation and a culture of openness and collaboration. We welcome applicants from all backgrounds, experiences, and perspectives.

Arbeitssprache

Deutsch

Arbeitspensum

80% - 100%

Standort

Digitec Galaxus AG
Pfingstweidstrasse 60b
CH-8005 Zürich