Data Scientist Jobs in Saarland, Germany

Data Science Team at a fast‑growing B2C SaaS company. Owns the end‑to‑end machine learning lifecycle, building predictive models for churn, LTV, and recommendations, and drives experimentation to influence product strategy.

Supply Chain Optimization Technology team at Amazon develops scientific solutions to optimize fulfillment strategy worldwide. The Data Scientist designs mathematical and statistical models for inventory placement, network flow planning, and supply chain uncertainty, collaborating with technical and business stakeholders.

Supply Chain Optimization Technology team at Amazon develops scientific solutions to optimize fulfillment strategy across global regions. The Data Scientist designs mathematical and statistical models for inventory placement, network flow planning, and uncertainty-driven supply chain optimization, collaborates with technical and business stakeholders, and leverages LLMs to improve solution explainability.

AI Operations Integration team at Amazon transforms global operations through AI-driven decision intelligence platforms. The Data Scientist I builds and delivers end‑to‑end data science solutions—leveraging LLMs, generative AI, causal engines, and predictive analytics—to diagnose and fix complex supply‑chain outcomes.

Senior Data Scientist needed at VML Luxembourg to lead research and enablement around new retail media, e‑commerce, and marketplace data sources and APIs. Drive analytics, decision models, and tool logic to improve content delivery and media workflows.

Data Scientist role focused on ensuring accuracy and usability of clinical and operational data within analytics pipelines, supporting data-driven insights and clinical research initiatives.

GEOINT Analytics Team at SOSi supports US Army INSCOM by developing advanced analytical models for mission‑critical intelligence. The Data Scientist Expert designs and operationalizes machine learning pipelines, integrates tabular, geospatial and unstructured data, and delivers predictive insights and visualizations to inform decision‑making.

Fraud Management team at R+V focuses on advancing fraud detection in insurance application and policy processes. The Data Scientist develops analytical approaches, builds scoring models and business cases, and translates insights into actionable recommendations for management.

Fraud Management Team at R+V Versicherung develops and advances fraud detection in the auto insurance application and policy processes. The Data Scientist analyzes application and policy data, builds scoring models and use cases, translates findings into actionable business cases, and presents recommendations to senior management while also representing the team in top‑complaint management.

SOSi GEOINT team supports US Army INSCOM by delivering advanced analytics and AI-driven insights for intelligence missions. The Data Scientist Expert designs, builds, and operationalizes machine learning models—including NLP, computer vision, and geospatial analytics—using Python, R, or Julia, and creates scalable data pipelines and dashboards for decision makers.

Fraud Management Team, Kraftfahrt-Betrieb at R+V focuses on preventing and detecting fraud in auto insurance applications and policies. The Data Scientist advances fraud management by analyzing application and portfolio data, building scoring models, and translating insights into actionable business cases.

Booz Allen Data Science Team builds innovative data solutions for a four‑star Army Headquarters supporting operations in Europe and Africa. The Data Scientist designs and maintains Foundry pipelines, develops Python‑based analytics, and collaborates with clients to turn complex data into actionable insights.

Booz Allen Hamilton-TEAMS business team builds innovative data solutions for an Army Service Component Command, leveraging IoT, machine learning, and AI to unlock insights from large structured and unstructured datasets. The Data Scientist designs and maintains Foundry pipelines, develops Python and Foundry AIP applications, performs data cleansing, integration, and quality assurance, and collaborates with clients to translate data into actionable decisions.

Data Scientist at Booz Allen Hamilton’s German office drives data‑driven solutions for global challenges, from fraud detection to national intelligence. The role leads data exploration, predictive modeling, and algorithm development, guiding teammates and advising clients on actionable insights.

Data Scientist at Booz Allen Hamilton Germany, part of the Data Science team focused on unlocking insights from complex data sets across public and private sectors. The role leads the development of predictive models, NLP solutions, and distributed analytics to advise clients on fraud detection, cancer research, and national intelligence.

Data Scientist at Booz Allen Hamilton-TEAMS business. Unlock secrets in structured and unstructured data using IoT, machine learning, and AI. Work with clients across public and private sectors—fraud detection, cancer research, national intelligence—to develop predictive models, algorithms, and data-driven solutions.

Data Scientist at Booz Allen Hamilton-TEAMS business, unlocking data insights using IoT, ML, AI across public and private sectors. Lead algorithm development, guide teammates, advise clients on data-driven decisions.

Data Scientist at Booz Allen Hamilton-TEAMS uses data science, IoT, ML, and AI to unlock insights from structured and unstructured data. The role tackles global challenges—from fraud detection to cancer research to national intelligence—by turning complex data sets into actionable information.

Data Scientist at Booz Allen Hamilton unlocks data insights using IoT, ML, AI. Leads teams, develops algorithms, visualizes data, and advises clients on global challenges. Works with structured and unstructured data, predictive modeling, NLP, and advanced analytics to drive real-world impact.

Data Scientist at Booz Allen Hamilton-TEAMS in Wiesbaden, Hesse. Leverage data exploration, cleaning, analysis, and visualization to solve global challenges across private and public sectors.