Senior Data Scientist (all genders)

Description

You will join the company's data crew as a Senior Data Scientist (all genders) at its Berlin data studio.

The company connects software, data, AI and human expertise to build digital products, services and operating models with measurable business impact. Around 2,500 experts work across its international teams to build and scale intelligence along the full value chain.

The team puts people first and works in a supportive, inclusive way. The workplace is hybrid and offers a lot of flexibility.

The data crew shares project insights, personal stories, videos and event news on its applydata blog, so you can learn more about the work and the people before applying.

Questions can go to Lisa, the contact person for this role.

Responsibilities

• Build and deploy machine learning algorithms and models that solve clients' business problems.
• Pull useful insights out of large, unstructured data sources.
• Lead the design of AI and ML solutions for predictive analytics, recommendation systems and process automation.
• Work with cross-functional teams to grasp clients' goals and turn them into ML and AI solutions.
• Assess model performance and keep improving accuracy and efficiency through repeated tuning.
• Explain findings clearly to both technical and non-technical stakeholders.
• Take on functional leadership and help other data scientists grow professionally.

Requirements

• A bachelor's degree or higher in statistics, mathematics, computer science or another quantitative field.
• 5+ years of data science experience, with hands-on work in applied machine learning, AI and statistical modelling.
• Strong Python skills, including libraries such as TensorFlow, scikit-learn and NLTK, plus solid SQL.
• A deep grasp of statistical methods and machine learning algorithms.
• Experience leading projects or holding functional leadership roles.
• Experience managing stakeholders, ideally in IT services or consulting.
• Able to work independently and in teams in fast-moving settings, with strong communication and the skill to present complex technical ideas clearly.
• Full professional proficiency in German and English, at C1 level at minimum.
• Nice to have: experience with big data technologies and cloud platforms.
• Nice to have: experience processing data with Spark and Databricks, or similar tools.
• Nice to have: experience with visualisation and dashboarding tools or simple frontends such as Streamlit, Dash, Tableau or Power BI.
• Nice to have: knowledge of deep learning frameworks such as PyTorch or Keras.
• Nice to have: experience with ML operations and putting ML and AI models into production.
• Nice to have: experience with generative AI and agentic systems.

Conditions

The role is hybrid and based at the Berlin data studio.

The company treats all applications equally and opposes discrimination and harassment on any protected ground.

Benefits

• Training programmes, free language courses, competence centres and an active tech community support your professional and personal growth.
• Hybrid work, workations, flexible hours, parental support and sabbaticals support work-life balance.
• You can join the Sustainability Hub, diverse communities, the Diversity Taskforce and after-work activities.
• Public transport tickets, job bikes, health offers, supplementary insurance, a pension plan and various discounts are included.
• Exclusive Volkswagen employee conditions apply when you lease or buy a vehicle.