Top Data Science Jobs in Berlin

Own the roadmap and execution of logistics demand-management products that balance fleet capacity with customer ordering. Partner with Engineering, Data Science, Operations, and regional teams to convert real-time saturation signals into product decisions. Define requirements, prioritize backlogs, launch features, run experiments, and evaluate conversion, cancellation, and fleet-saturation metrics. The role also involves coordinating stakeholders, supporting AI-driven configurations, and improving delivery experiences across markets.

Leads Cafeyn’s customer data and data science strategy, including analytics, AI-powered product innovation, data monetization, predictive modeling, experimentation, governance, and scalable data foundations. Manages multidisciplinary data teams, partners with executive, product, marketing, business, and engineering stakeholders, and drives customer engagement, retention, revenue growth, and data adoption.

Lead the inventory product domain within Zalando’s Fulfillment Core, defining vision, strategy, roadmap, KPIs, and customer-focused product outcomes. Build and deploy technical platform products at scale, use data and AI technologies for discovery, experimentation, prototyping, and decision-making, and navigate complex cross-functional trade-offs. Partner with Design, Engineering, and Data Science, maximize commercial value, and mentor other product managers.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Develop, validate, and deploy computer vision and machine learning algorithms for clinical decision support using imaging and sensor data. Own projects from messy data and modeling through rigorous evaluation and production integration. Collaborate with hardware, software, medical, and clinical research teams, apply classical and deep learning methods, support regulatory readiness, deliver production-quality Python code, and mentor colleagues.

Lead data science and credit risk strategy across Southeast Asia. Build and oversee production machine learning models for underwriting, fraud detection, risk segmentation, and real-time decisioning. Establish credit policies, monitor portfolio performance, lead stress testing, and support responsible market expansion. Build and mentor data science and risk teams while partnering with engineering, product, finance, and executives to improve approvals, defaults, time-to-decision, and unit economics.

Develop and demonstrate Physical AI solutions on NVIDIA and hyperscaler platforms. Advise customers and partners, optimize GPU-accelerated training and inference pipelines, conduct proof-of-concepts, and collaborate with Engineering, Product, Sales, and Marketing teams. Build technical relationships, gather customer feedback, support enterprise architecture integration, and evangelize accelerated computing and generative AI to developers, researchers, executives, and technical leaders.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop client relationships, generate consulting business, oversee major client portfolios, and guide cross-functional teams in designing, implementing, and scaling AI and data solutions.

Assess credit applications using multiple data sources and a tech platform to make fast, fair decisions. Grow decisioning autonomy, support peers on complex cases, and collaborate with analytics to optimise lending models and processes.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

Manage strategic partnerships and maritime defence programmes, driving complex projects from engagement to delivery while collaborating with government and industry stakeholders.

Lead and develop a team of Data Scientists and ML Engineers building production machine-learning systems for logistics. Drive AI adoption, roadmap prioritization, agile execution, and measurable business outcomes. Partner with Product Managers, Staff ML Engineers, and the MLOps platform team to deploy scalable solutions. The role requires deep hands-on experience with production ML, recommender systems, pricing algorithms, statistical models, and modern data and AI technologies, alongside strong people leadership and executive communication skills.

Lead technical discovery, solution design, demonstrations, and proof-of-concept support for Anaconda’s AI and data science platform across EMEA. Partner with account executives on complex deals, create reusable technical content, represent customer needs to product and engineering, and coordinate with cross-functional teams through implementation handoff. Manage multiple opportunities independently while improving technical win rates, deal expansion, sales velocity, and regional pipeline development.

Design, implement, and test automation and robotic systems for machine vision and industrial applications. Develop embedded product designs and manufacturing processes, collaborate with R&D team, analyze test data, and maintain inspection and maintenance plans.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

Lead the acquisition strategy for iwoca in Germany, driving growth through data and technology. Manage a cross-functional team to optimize onboarding and engagement with SMEs.

As Senior Manager of Data Operations, you'll lead a team overseeing global curators, optimize workflows, and drive automation with AI while ensuring quality and efficiency.

Design and implement quantitative and qualitative assessment frameworks for irregular warfare and information operations. Apply operations research, statistical modeling, and data science (including AI/ML) to analyze operational and social media data, validate analytical models, quantify uncertainty, and produce visualizations and briefings to inform senior military decision makers. Coordinate assessment activities across joint and service components and document methodologies and lessons learned.

Lead research on tabular foundation models: invent new methods and tooling, set research direction, build real-world benchmarks and datasets, implement baselines, and create automated agentic pipelines with human-in-the-loop to scale evaluation and production use.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Lead and grow a data science team while personally designing, training, deploying, and owning production ML models powering AI search. Research and ship novel algorithms to reverse-engineer LLM behavior, own the full ML lifecycle, architect scalable data and model systems, and write and review production-grade code to ensure reliability and high impact.

Lead a cross-functional team of Data Scientists, MLOps Engineers, and Product to deliver horizontal data and ML products (including LLM-based systems). Own roadmap, hiring, performance, operationalization, adoption, and production reliability. Drive stakeholder partnerships, raise production quality standards, and balance exploration with scalable, business-impacting solutions.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.