Job
- Level
- Senior
- Job Field
- Data, Project
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data-driven solutions with AI focus, lead projects from EDA to production model deployment, manage stakeholders, and collaborate closely with software engineers.
Job Technologies
Your role in the team
- You develop data-driven solutions for our clients with measurable business impact.
- From hypothesis through EDA and modeling to production use, you are responsible for the core data science with an AI focus (including GenAI/LLM where it adds value).
- You lead projects, manage stakeholders, and work closely with software engineers to bring models into products and processes in a stable, secure, and user-centric manner.
- Data Strategy & Business Analytics
- Use-Case Scoping along the Customer Journey (Marketing, Sales, After-Sales): Feasibility, Risk, ROI
- Define KPI frameworks (e.g., Conversion, CLV, NPS, Time-to-Resolution) and make their impact measurable
- AI Modeling and GenAI Applications
- Development of practical ML models (e.g., Propensity, Churn, Forecasting, Recommender) with clean feature engineering
- Deploy GenAI/LLM where appropriate: knowledge access, text summarization, response assistance, classification/extraction
- Evaluation focusing on accuracy, robustness, fairness, as well as cost/latency trade-offs; considering guardrails and hallucination controls
- Experimental Design & Evaluation
- Offline/Online metrics, A/B testing, baselines, power analyses, and stopping criteria; translating results into clear actionable recommendations
- Visualization & Reporting
- Explorations dashboards, decision storylines, model cards; audience-appropriate communication for departments, management, and IT
- Interface to Software Development
- Clean handover packages: APIs, model artifacts, tests, documentation; close coordination for integration into services/platforms
- Ensuring Quality Together: Versioning, Testability, Observability, Security Standards
- IT Project Management
- End-to-end project responsibility: backlog prioritization, milestones, risks/dependencies, budget, and status reports
- Agile Delivery (Scrum/Kanban): Planning, Reviews, Retrospectives; clear, transparent communication
- Data Engineering & IT System/AI Tool Rollout (collaborative)
- Formulate requirements for data sources/pipelines, ensure data quality
- Accompanying AI (Tool) Rollouts: Use-Case Fit, Data Privacy/Security, Training & Enablement, Success Measurement
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Our expectations of you
Education
- Degree in Data Science, Computer Science, Statistics, Mathematics, or Business Informatics or an equivalent qualification
Qualifications
- Excellent Python skills (pandas, numpy, scikit-learn; ideally PyTorch/TensorFlow) and solid SQL experience; R is a plus
- Routine in data preparation, quality assurance, versioning, testing, observability, and reproducible research
- Strong solution-oriented mindset, analytical thinking, and customer-focused approach; excellent presentation and communication skills
- Proficient (at least C1) German and English skills
Experience
- At least 4 years of relevant professional experience in the Data/AI environment, ideally with consulting experience or in platform-related roles
- Deep methodological expertise in statistical analysis, time series, machine learning, and EDA; experience with GenAI/LLMs or recommender/forecasting use cases
- Experience in agile product development; strong in project management and collaboration with software engineers and business units
- Advantageous: Experience with e-commerce/MarTech, scalable SaaS/platform setups, and cloud services
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What we offer
- At rpc, you can expect modern collaboration: flexible, human, and at the same time structured.
- We pay attention to a balanced mix of suitable tasks, new impulses, and challenges.
- Our workday offers you noticeably more flexibility: sabbaticals, remote work options, and customized part-time models that align with your life.
- You will be supported by trained managers, regular happiness checks, and contacts who are ready to listen to you – including our trained Feelgood Manager.
- You design your mobility in a way that best fits your life.
- Choose whether you want to commute with JobRad, use the Deutschlandticket, or take advantage of our company car offer.
- Additionally, you will benefit from a versatile package of corporate benefits, allowances, and company pension schemes.
- Small gestures in everyday work life contribute to your well-being: fresh fruit, snacks, especially good coffee from our espresso machine, and as a weekly highlight, breakfast every Friday in our modern office.
- A company culture you simply have to experience.
- At rpc, openness, dynamism, and genuine appreciation come together.
- We believe in a partnership based on mutual respect and therefore uphold a clear "No Jerks" policy.
- Our decision-making processes are short, doors are open, and the spirit is especially palpable when we come together: at our legendary company events, after-work gatherings, or simply in everyday interactions.
- At rpc, you are not just any cog in the machine, and you will become part of a community that thinks together, works together, and celebrates together.
- That's exactly what makes our spirit so special.
- Perspectives beyond the next career step: With us, you have the opportunity to leverage your strengths according to your individual inclination, take responsibility quickly, and actively shape the company.
- Our development paths clearly outline your next steps, while our rpc Academy supports you with modern, inspiring learning.
- In Learning Cafés, you meet colleagues who share their knowledge, and in short learning nuggets, you receive impulses that have an immediate impact on your daily work.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
BMW AG
Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.1
Career Growth
3.1Engineering
2.3Culture
3.1Workingconditions
4.1
Senior Data Scientist & AI Expert
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
