- 경험
- 4년 이상
- 샐러리
- EUR 80,000 – EUR 105,000 / year
- 채용 공고
- 1
- 게시됨
- 5시간전
- 작업 모드
- 잡종
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
About the Role
We are seeking an experienced Senior Data Scientist to join a rapidly expanding consumer technology marketplace company based in Munich. This position involves a hybrid work model, with approximately half of the time spent in the office. The successful candidate will become a vital member of a product-driven Data Science team and will be responsible for driving key projects that directly affect product outcomes, customer experiences, and commercial results.
Key Responsibilities
- Lead end-to-end machine learning projects aimed at solving complex business challenges.
- Collaborate closely with Product, Engineering, Analytics, and business teams to ensure successful project delivery and measurable impact.
- Develop scalable ML solutions that address ambiguous and dynamic business problems.
Required Qualifications and Skills
- At least four years of professional experience in Data Science roles.
- Proficiency in Python programming and SQL querying.
- Strong foundation in classical machine learning, statistics, and predictive modeling.
- Hands-on experience managing ML lifecycle from problem definition through deployment, including impact measurement.
- Excellent communication and stakeholder management abilities.
- A mindset focused on product and business success.
- Experience handling large-scale datasets in production systems.
Preferred Expertise
- Expertise in one or more of the following areas: Dynamic Pricing, Revenue Management, Forecasting, Ranking, Recommendation Systems, Personalization, Experimentation, A/B Testing, and Customer Behavior Modeling.
Technical Skills
- Machine learning frameworks including XGBoost, LightGBM, CatBoost.
- Feature engineering and product analytics to drive actionable insights.
Compensation and Working Conditions
- Annual base salary range between €80,000 and €105,000, commensurate with experience.
- Work location is Munich, Bavaria, Germany.
- Hybrid work schedule with roughly 50% office attendance.
Additional Information
This is an excellent opportunity for professionals with deep expertise in dynamic pricing and recommendation systems seeking to make a tangible impact in a fast-growing environment. Candidates with a passion for leveraging machine learning to solve business problems will thrive in this role.