Data Scientist Jobs in Brandenburg, Germany

Wynwood Tech LLC Data Team builds scalable data pipelines and analytics solutions for a leading digital marketing agency. The role develops and maintains data engineering and data science workflows, leveraging Python, PySpark, and cloud platforms to ensure data quality and reliability.

Nucs AI is revolutionizing cancer care with AI-powered medical imaging tools. Data Scientist / Data Engineer builds auditable cloud data pipelines, conducts statistical analysis, applies ML/DL and LLM methods, and creates dashboards for clinical datasets.

Growth Data Products (GDP) drives GetYourGuide's growth engine by turning raw marketing data into self‑service insights and automated decision systems. As a Staff Data Scientist you will define, develop and own data products, design and monitor production ML pipelines in Python and Databricks, and champion experimentation through A/B testing and causal inference.

The Senior Data Scientist — Data Cloud Acceleration role sits within the Data Cloud Acceleration team at Zeta Global, reporting to a Lead Data Scientist. You will independently own model and analysis deliverables, translating business questions into analytical approaches using statistical methods, machine learning, deep learning, or existing models and services.

Prior Labs is a fast‑growing AI startup focused on building foundation models for structured data. The Data Scientist role bridges cutting‑edge research and real‑world applications, requiring deep expertise in Python, machine learning, and software engineering.

Almedia seeks a Data Scientist for its Academic Track to join the Berlin team. The role focuses on building and evaluating machine learning models that personalize recommendations and boost user engagement.

Peec AI Data Science team builds AI-powered recommendation systems that boost brand visibility in AI search. The Data Scientist trains, tests, and ships models, designs data pipelines, and collaborates with engineering to deploy ML solutions.

QuantCo seeks a Data Scientist to transform business questions into data‑driven solutions. The role blends statistical rigor, machine learning, and engineering to build models that automate decisions and inform strategy across finance, retail, and healthcare.

Data & AI team at Moss builds AI-driven finance automation tools for SMB spend management. The Senior Data Scientist leads end‑to‑end LLM/ML initiatives, owning pipelines for extraction, classification, anomaly detection and recommendations, and works with platform engineers to productionize models.

flaconi's DATA department in Berlin, Germany is hiring a (Senior) Data Scientist to join a six-person team building data and AI solutions that optimize the company's European e-commerce platform. Day-to-day work includes training and deploying machine learning models, developing Generative AI and Agentic AI solutions, statistical modeling, and taking end-to-end ownership of projects while collaborating with business stakeholders.

PAIR Finance GmbH seeks a Data Scientist to join the Outbound Data Science team in Berlin, optimizing debt collection products through machine learning and AI. The role involves developing advanced models like Reinforcement Learning, solving complex business problems, and collaborating with cross-functional stakeholders. This hybrid position combines technical execution with strategic innovation within an international fintech environment.

Dunia Innovations' research team builds AI-driven materials discovery pipelines. The Chemical Data Scientist interprets high‑throughput experimental data, identifies meaningful patterns, and integrates insights into ML models and simulations to accelerate new material development.

Data Science team at PAIR Finance drives AI-powered debt collection solutions, building and optimizing data architecture and large language model applications. The Senior Data Scientist designs, deploys, and fine‑tunes LLMs, orchestrates GPU resources, and creates efficient data pipelines while collaborating with developers, product managers, and business owners.

Founding Data Scientist at Almedia, a fast‑growing Berlin startup aiming to become Germany’s second bootstrapped unicorn. Build end‑to‑end measurement and experimentation pipelines that turn data into live business decisions.

Senior Marketing Data Scientist role focuses on designing and executing rigorous experimentation strategies for paid media across major platforms. The candidate will develop causal inference methods, including A/B tests and lift studies, to measure incremental impact and optimize media spend.

wynwood tech LLC is seeking Data Scientists to support a leading European tech company. The role focuses on data strategy, consulting, and building predictive models while advising stakeholders on CRM data and analytics.

Data Science Team at Vention drives digital transformation by turning complex data into actionable insights using statistical, machine learning and Generative AI techniques. The Senior Data Scientist designs, builds, tests and deploys models—including prompt‑based and LLM‑powered applications—while collaborating with cross‑functional teams and clients to deliver data‑driven solutions and guide junior members.

Team Greenrock – Demand Division at Flix builds and operates the Revenue Management System that drives commercial impact across mobility services. The Senior Data Scientist will translate business needs into data-driven projects, develop and test revenue management models, and co‑own system evolution with engineering partners.

Amazon Music team builds immersive audio experiences and drives fan, artist, and creator engagement worldwide. As a Data Scientist you develop causal and predictive models, analyze large marketing datasets with SQL and Python/R, and partner with marketing and finance to optimize retention and ROI. Berlin, on-site, hybrid schedule with flexibility, relocation assistance available.

Delivery Hero's Content tribe in Berlin, Germany is seeking a Senior Data Scientist to own the LLM systems behind ratings and reviews (social proof) across dozens of markets and languages. Day-to-day, you will set the technical direction for model and provider selection, prompt strategy, evaluation infrastructure, and observability, taking prototypes to production while mentoring the team.