Team Lead (f/m/d) Data Science
- Market p25–p75
- €69k–€118k
- Pair p25–p75
- €78k–€102kn=3
- Opened · 30d
- +0
- Closed · 30d
- −0
- All analytics / data science
- 7,753open
Are you ready to change the market?
Our company has experienced significant growth and we are continuously improving our technologies, processes, and policies to form a reliable foundation for further growth. To further develop our innovative product, we are looking for a Team Lead (f/m/d) Data Science to join our team. In this role you will focus on the further development of our Machine Learning products and lead a team of three Data Scientists.
Become part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence.
Your Responsibilities:
- Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence
- Lead and mentor a team of three Data Scientists, providing technical guidance and support
- Work on advanced and demanding AI fields such as our reinforcement learning-driven decisioning product that is used for our outbound communication
- Improve our portfolio valuation models and work closely with our Finance department as stakeholders to ensure high quality output
- Identify, understand, structure, and solve complex problems in collaboration with stakeholders (e.g. Behavioural Science, Tech, Finance, Collection, Market departments)
- Work on projects that deliver measurable value to our business
- Experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we face
- Report directly to our Director of AI & Data Science
What we're looking for:
- Degree in Data Science, Computer Science, Mathematics or similar
- 6+ years experience as Data Scientist, ideally in a startup and/or fintech company
- First leadership experience in a dynamic environment
- Extensive experience with Python and with data processing packages (e.g. Pandas, Numpy) and machine learning frameworks (e.g. pytorch, scikit-learn, transformers)
- Familiarity with web frameworks like Flask or FastAPI
- Deep knowledge of relational databases such as MySQL or PostgreSQL
- Experience with Reinforcement Learning would be a strong plus
- Impressive track-record of projects using Machine Learning to solve business problems
- Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
- Experience with cloud-based infrastructure solutions such as AWS
- Excellent English speaking and writing skills
- Willingness to dive into our data and get your hands dirty
Our offer for you:
- For this lead role, our salary band is € 97,500 - € 130,000 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications
- Thriving, financially stable company
- Strong experienced international team to support and mentor you along the way, smooth onboarding process
- International team of 30+ nationalities with professionals and experts
- Flat hierarchy, transparent and appreciative feedback culture, monthly all hands meetings, annual feedback and evaluation cycle, regular 1-on-1s with your lead
- Well-structured onboarding process as well as supportive and welcoming colleagues
- Personal learning & development budget as well as German and English language courses
- Unlimited employment contract, flexible working hours and 28 vacation days for your work-life balance
- Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits” voucher platform to ensure your full well-being
- Fun company summer and Christmas parties as well as regular team events
- This role is based in Berlin, and we have a hybrid working policy. Modern office near Uhlandstraße is complete with fresh fruit, muesli and drinks for a comfortable and enjoyable workplace
Who is your contact person?
Your contact person for this position is Geneva Brooks. If you have any questions, please contact us directly by email (jobs@pairfinance.com). For more information about PAIR Finance, please take a look at our website and our careers page. We look forward to hearing from you!