Senior Data Scientist
Adevinta
Berlin, Germany
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Berlin, Germany
Tech stack
Agile Methodologies
Amazon Web Services (AWS)
Computer Programming
Continuous Delivery
Python
Machine Learning
NoSQL
Scrum
TensorFlow
SQL Databases
PyTorch
Scikit Learn
Information Technology
Performance Monitor
Machine Learning Operations
Job description
As a Senior Data Scientist, you will:
- Lead impactful projects that apply data science and advanced ML models to complex business problems, especially around search, ranking, recommendation, and personalization.
- Own end-to-end data science initiatives: from ideation and prototyping, to production deployment, performance monitoring, and refining for scalability and efficiency.
- Analyze large and complex datasets to uncover actionable insights that inform business strategies and drive user-centric solutions.
- Build and validate proof-of-concepts for innovative features, clearly presenting results and value to diverse stakeholders.
- Act as a bridge between technical and non-technical teams, communicating insights, methodologies, and outcomes effectively.
- Collaborate closely with product managers, UX designers, engineers, and other data scientists to align on search and platform goals and drive cross-functional product development.
- Mentor and support junior data scientists, promoting best practices and continuous team growth.
- Stay current with the latest advancements in data science, integrating new tools, frameworks, or techniques to push the team's capabilities forward.
Requirements
Do you have a Master's degree?, * Relevant MSc or Ph.D. in statistics, computer science, economics, or a related field.
- 3+ years of hands-on experience in designing, training, and deploying machine learning models, ideally within marketplaces or technology-driven environments.
- Advanced programming skills in Python (preferred), R, and proficiency working with SQL and/or NoSQL databases.
- Strong background in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience with MLOps best practices.
- Proven track record with cloud platforms, especially GCP or AWS, including deploying and managing ML solutions in production environments.
- Experience guiding cross-functional team efforts and managing a variety of stakeholders.
- Confidence in translating complex business needs into data-driven strategies and communicating findings to technical and non-technical audiences.
- Enthusiasm for agile software development (Kanban/Scrum), product discovery, and iterative, continuous deployment.
- Excellent English language communication skills, both written and verbal.
- Passion for innovation, continuous learning, and making a real impact on how millions interact with our platform.
Benefits & conditions
Working at mobile.de comes with its perks! Enjoy the following benefits (some of many): * Rewards: competitive base salary and participation in the company's incentive programs.
- Plan for the Future: On top of the statutory retirement insurance, we offer a competitive company pension scheme.
- Team-Building: Regular team and company events offer the opportunity to network and learn from each other.
- Learning & Development: Keep growing with access to coaching, learning platforms and resources.
- Mobility: Stay mobile with a monthly transportation allowance.
- Enjoy working: Our well-equipped office supports focused work and teamwork - plus inviting social zones where colleagues can relax and connect
- Flexible working: a hybrid approach with the option to work abroad for a set number of days per year.
- Wellbeing: confidential employee assistance and support services available to employees and their immediate families.
- Family support: enhanced parental leave and family-friendly policies to support all parents and careers.