Top Data Science Jobs in Germany

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 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.

Generate qualified sales meetings by researching target accounts, conducting high-volume outbound outreach through email, phone, social, and video, articulating InfluxDB’s value, and nurturing prospects into qualified leads. The role requires consultative sales ability, strong communication, organization, persistence, technical aptitude, and familiarity with AI-enabled processes. Experience with open-source or SaaS sales, Salesforce, Outreach, remote work, quota attainment, and German or French is advantageous.

Leads enterprise AI and automation strategy, governance, platform scaling, reusable AI services, production deployment, and high-value use-case prioritization. Advises senior leaders, aligns business and technology stakeholders, establishes responsible AI frameworks, and develops operating models that drive adoption, productivity, and business value. The role also monitors emerging technologies and translates complex technical developments into strategic recommendations.

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.

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.

Develop and validate AI-based CT image formation, reconstruction, denoising, and dose-reduction solutions. Apply deep learning, data science, Python, and C++ expertise to conventional, spectral, and photon-counting CT data. Collaborate with interdisciplinary teams, provide technical guidance, evaluate emerging methods, and transfer research into clinically meaningful imaging innovations.

Leads the Data Tribe and develops data-driven business value across the company. Responsibilities include establishing data management and governance guidelines, ensuring engineering compliance, advising teams on data-driven practices, mentoring team leads, coordinating data protection for Engineering, and overseeing data infrastructure, analytics, data integrity, and ICT support. The role requires expertise in data science, machine learning, stakeholder management, and data and people project leadership.

Intern develops AI-based workflows for wireless test and measurement. Responsibilities include researching algorithms, building proof-of-concept implementations, conducting RF measurements, evaluating algorithm performance, demonstrating results, and documenting work. The role requires ongoing engineering or computer science studies, programming knowledge, statistical understanding, RF and measurement fundamentals, and availability for a mandatory four- to six-month internship beginning April 2027.

Leads JetBrains Air’s data science, analytics, and data engineering functions. Builds and develops multidisciplinary teams, establishes scalable data foundations and metric frameworks, drives experimentation, and delivers insights for product, marketing, acquisition, retention, and monetization. Partners with engineering and leadership on data strategy, infrastructure, machine learning capabilities, privacy, security, and responsible data use.

Build and operate scalable cloud data pipelines for quantum chemistry datasets used to train AI models. Responsibilities include transforming quantum chemistry software into cloud workflows, managing and validating scientific data, deploying containerized infrastructure through infrastructure as code and CI/CD, and ensuring reliability, security, observability, incident response, and capacity planning. The role collaborates with scientific and technical experts across disciplines.

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.

Provides strategic and scientific leadership across statistics, data science, machine learning, deep learning, and AI for clinical evidence generation. Develops advanced statistical models, predictive and imaging applications, validates analytical methods for regulated environments, evaluates emerging AI approaches, and partners with clinical, regulatory, technology, and data teams. Communicates complex findings, mentors quantitative scientists, and shapes the long-term strategy of the Statistics organization.

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 the data intelligence dimension of Agileday’s AI product by building AI-ready data foundations, predictive and recommendation capabilities, learning systems, feedback loops, and production data pipelines. Partner with founders and product teams to identify commercially valuable opportunities, shape architecture and quality standards, and move solutions from experimentation into reliable customer-facing products.

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.

Leads complex enterprise accounts across the full technical sales lifecycle, delivering demos, pitches, prototypes, and cloud proofs of concept. Partners with C-level stakeholders, mentors Solutions Architects, develops regional best practices, and builds Databricks’ technical presence in the DACH market through workshops, collateral, meetups, and conferences. Requires deep data engineering or data science expertise, hands-on Python and SQL coding, fluent German and English, AI-assisted development experience, and strong public cloud knowledge.

Leads and grows a distributed EU-based AI and Machine Learning team, managing Data Scientists and Machine Learning Engineers. Responsibilities include line management, coaching, performance reviews, team culture, delivery processes, engineering quality, CI/CD, cloud automation, monitoring, architecture discussions, process improvement, and cross-regional stakeholder collaboration. The role partners with AI leadership on technical, organizational, and HR matters.

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.

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.

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.

As a Software Engineering Consultant at Netlight, you'll work on digital projects, shaping software products and solutions while defining your career path and collaborating with a dynamic team.

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.