Data Scientist

• Du erhältst umfassende Einblicke und arbeitest in folgenden Bereichen: AI-Integrator
• Einführung in das Unternehmen und allgemeines Verständnis von KI
• Kennenlernen der Einsatzmöglichkeiten von Data Science und KI innerhalb der SEEBURGER Produktpalette
• Einführung in die SEEBURGER Geschäftsprozesse
• In diesem Bereich arbeitest du sehr eng mit anderen Teams wie Sales, Consulting und Technical Communications zusammen.
• Einführung in agile Softwareentwicklungsmethoden
• Aufbau von Kenntnissen im Bereich Datenbanken, Systemarchitekturen, Virtualisierungstechnologien, API-Entwicklung in Bezug auf KI
• Einführung in die Cloud-IT und den Betrieb von Systemen

Duales Studium – Data Science & Künstliche Intelligenz (B.Sc.)

• Mentor and manage a high-performing Data Science team
• Own the data science strategy for real-time courier pay systems
• Drive critical business outcomes by taking ownership of key courier supply metrics
• Diagnose structural and behavioral supply issues
• Design the conceptual framework for real-time incentive engines
• Oversee the development of predictive models
• Act as the senior technical guide to ensure pay models are rigorous
• Partner closely with Machine Learning Engineers
• Lead the design and execution of complex marketplace experiments
• Direct the modeling of courier behavior and build frameworks to maximize ROI

Data Science Team Leader

• As a Data Scientist with us, you will play a central role in developing our data warehouse and analytics platform.
• You design and implement innovative data science and analytics solutions that drive company growth, generate new insights for our clients across diverse industries, and foster innovation.
• You play a key role in operating and advancing our data warehouse and analytics platform using Python and a modern, data-driven Google Cloud architecture.
• You implement and optimize existing data processing pipelines for large, multinational client projects, focusing on standardization and automation.
• You design and implement software solutions to analyze structured and unstructured data from surveys, customer databases, and other sources.
• Together with your team, you advise internal and external stakeholders on efficient data and decision-making processes and translate available data into decision-relevant insights using analytical methods and visualization techniques.
• You work with a modern data engineering and analytics stack — e.g., Python, Docker, Google Cloud, Tableau — and collaborate with the team to develop pragmatic automation solutions for complex analysis workflows.

Senior Data Scientist

• Du bist zentrale Ansprechperson für Kundenberatung, Einkauf, Abrechnung und Controlling in allen Stammdaten-Fragen
• Du übersetzt Kundenverträge und Informationen aus der Kundenberatung in korrekte Einstellungen in DML und Maconomy sowie Kreditoren in SAP/Ariba
• Du pflegst und verwaltest zentrale Stammdaten in unserem Mediaabwicklungssystem DML
• Du entwickelst Stammdatenprozesse aktiv weiter wie z.B. klare Guidelines, einheitliche Standards, Abbau von Komplexität
• Du identifizierst Automatisierungspotenziale und arbeitest an ihrer Umsetzung mit
• Du schulst interne Anwender und unterstützt beim Aufbau von Key-User-Kompetenz in den Teams
• Du unterstützt bei Finance-Prozessen und trägst zur datenbasierten Steuerung der Gruppe bei

Senior Master Data Manager, Media

• Time Series & ML Engineering: Support the team in building, improving, and retraining machine learning forecasting models
• Production Operations: Actively assist in monitoring, updating, and troubleshooting forecasting models and pipelines operating in production environments
• Data Pipelines & Cleansing: Help build and maintain robust data transformation pipelines using SQLMesh and BigQuery to pre-process large streams of data
• Simulation & Validation: Use our internal simulation framework to backtest forecast models and analyze how forecast errors directly impact our high-level EMS optimization yield
• Agentic AI & Workflow Automation: Assist in writing, structuring, and testing behaviors for autonomous AI agents to help automate workflows
• Documentation & Team Sync: Help maintain clean, clear technical documentation in Notion and collaborate with Optimization and Data Engineers during sprint cycles

Working Student, Data Science, Forecasting

• Build our core AI capabilities from v1 to v10.
• Join the early core team of experienced entrepreneurs (have scaled products to millions of users and achieved $100M+ exits).
• Build the future of tax and accounting using AI.
• Build our internal AI agents, shape the AI stack, and lay the foundations for scaling.
• Grow into leadership as we expand internationally.
• Own major AI features and intelligent agents end-to-end (spec → ship → measure), working closely with our Business Automation Managers and tax experts.
• Implement robust LLM integrations, RAG pipelines, data models, and prompt management systems; make pragmatic architecture choices with high autonomy.
• Ship AI features quickly and iterate based on real user feedback from our internal operations team.
• Hire and mentor junior engineers (if interested) and gain leadership experience as we grow.

Senior Data Scientist, AI

• Driving the evolution of our geocoding systems from rule-based logic to ML-based matching and normalization.
• Building and improving confidence and relevance scoring models, including automated false-positive detection.
• Developing and productionizing data-driven solutions to improve geocoding quality.
• Exploring and prototyping new use cases, such as “last meter” challenges.
• Automating benchmarking and evaluation pipelines to measure model performance.
• Driving cross-team initiatives, contributing to the long-term data strategy, and mentoring more junior data scientists.

Senior Data Scientist – Geo-Data

• Designing and developing data models based on SAP Datasphere
• Creating analytical dashboards and reports in SAP Analytics Cloud
• Implementing, documenting and deploying the developed data models
• Leading data-driven projects as a Project or Program Manager
• Introducing a process mining tool for root-cause analyses

Data Scientist, Reporting

• Develop and maintain our full-stack applications within the modern JavaScript/TypeScript ecosystem
• Design and implement scalable backend services using Node.js and Nest.js
• Build high-performance frontend solutions with React.js and Next.js
• Design and optimize relational databases (PostgreSQL, MySQL, MS SQL)
• Containerize and orchestrate services using Docker and Kubernetes
• Develop and integrate REST APIs
• Build and operate data pipelines, feature stores, and ML workflows for our agentic systems
• Develop, train, and evaluate machine learning models for marketing use cases (attribution, targeting, forecasting, anomaly detection)
• Implement Retrieval-Augmented Generation (RAG) pipelines (embeddings, vector stores, re-ranking)
• Set up and maintain LLM evaluation frameworks, prompt optimization workflows, and systematic quality benchmarks
• Apply code harnesses (especially Claude Code and Codex) throughout the daily development process — from planning and implementation to code review
• Collaborate closely with the founding team on the product architecture of agentic systems

Senior Full-Stack Developer, AI Engineer, Data Scientist

• Develop AI-driven financial models for risk management, liquidity prediction, and market analysis.
• Work with symbolic AI, logical reasoning, and agentic AI to improve DeFi decision-making.
• Collaborate with engineers and researchers on cutting-edge AI tools for finance.
• Analyze and process large financial datasets, ensuring AI model accuracy and efficiency.
• Adapt traditional Basel II/III risk management frameworks to DeFi environments.
• Drive adoption of AI tools for financial analysis and automation.

• Unterstützung des Teams bei administrativen Aufgaben im Bereich Linux, OSS und Windows-Server.
• Verantwortung für IT-Nutzerverwaltung und Zugriffsrechtemanagement.
• Mitwirkung bei der Administration des High Performance Compute (HPC-) Clusters.
• Betreuung und Support für wissenschaftliche Nutzer*innen und Heranführung neuer PTB-Nutzender an die Verwendung von HPC-Kapazitäten.
• Bereitstellung und Installation von fach-spezifischen physikalischen Anwendungen.
• Mitwirkung an der strategischen Weiterentwicklung der Server-Infrastruktur.
• Pflege und Dokumentation der Software-Installation und Cluster-Konfiguration.

IT-Server Expert, Informatik, Computer Science, Software-Engineering, Data Science

• Predictive User Modeling: You will build and optimize machine learning models to understand and predict user behavior across the full lifecycle - acquisition, engagement, churn, and LTV. Partner with marketing, product, and growth teams to turn those predictions into measurable business impact.
• Product Analytics: You will be responsible for conducting in-depth product analysis to identify key metrics and areas for improvement, using data insights to guide product development and enhance user experience. Additionally, you will collaborate with product managers to steer data-driven features and improvements
• A/B Testing: You will collaborate closely with the product team to design, implement, and analyze A/B and multivariate tests to optimize product features and marketing strategies. During those initiatives, you will be responsible for ensuring scientific rigor and proper statistical methods. Finally, you will support interpreting the results and providing actionable insights to stakeholders
• Machine Learning & Statistical Analysis: You will develop and deploy machine learning models for predictive analytics, user segmentation, and personalization, while applying deep learning techniques for complex data analysis tasks (image recognition, natural language processing, etc.) to drive user acquisition and monetization of our JustPlay app
• Project Management: Lead data science projects from concept to delivery, coordinating with cross-functional teams (including Engineering, Product, and marketing) and managing timelines, deliverables, and stakeholder communication

Senior Data Scientist – All Genders

• Transform business process data into actionable insights that shape clients’ digital transformation journeys
• Take ownership of data-driven process improvement projects — from analysis to implementation, using cutting-edge process mining tools
• Analyze and optimize core and support processes to uncover inefficiencies, bottlenecks, and automation potential
• Gather, cleanse, and prepare event log data from multiple source systems to ensure excellent data quality
• Build compelling data visualizations and meaningful dashboards using Celonis, Process Intelligence, and related analytics tools
• Collaborate closely with clients to design, implement, and roll out process improvements (e.g. in supply chain, logistics, finance)
• Conduct workshops and training sessions to communicate insights and share best practices
• Gain cross-industry exposure — from manufacturing to tech, retail, and beyond

Data Scientist – Process Intelligence, Celonis

• Work as part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence
• Work on advanced and demanding AI fields such as reinforcement learning and LLMs
• Identify, understand, structure and solve complex problems
• Work on projects that deliver measurable value to our business
• Experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we face
• Communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts

• As a technical solution and implementation partner, you will work on varied client projects and support the entire machine-learning lifecycle from data analysis to production deployment.
• You will develop, validate and optimize machine-learning models using Python and common frameworks such as TensorFlow and scikit-learn.
• The operationalization of models (deployment, monitoring, integration) is a central part of your responsibilities — with a focus on MLOps and production systems.
• You will analyze and process large datasets (e.g., using Python, SQL, Spark) and derive concrete recommendations for the business units.
• In close coordination with clients and internal stakeholders, you will present results clearly and advise on data-driven decisions.

• Own and lead the company’s global commercial data and analytics capability, ensuring data is easy to access, reliable, and truly useful for decision making.
• Transform today’s fragmented and manual data landscape into an integrated, automated analytics platform that supports brands, countries, and leadership teams.
• Define a pragmatic, multi year analytics roadmap that fits a mid size pharmaceutical company — balancing innovation, speed, scalability, and cost.
• Ensure commercial data (sales, CRM, omnichannel, patient, market research, etc.) is consistently collected, integrated, and governed across key markets.
• Move the organization beyond basic reporting toward predictive and action oriented insights (e.g. forecasting, targeting, scenario planning).
• Translate complex data into clear insights, decision rules, dashboards, and playbooks embedded into daily commercial workflows.
• Build analytics products and simple self service tools that support brand teams, country leadership, and the field force.
• Establish strong data governance, quality, privacy, and compliance standards in collaboration with IT, Legal, and Compliance.
• Build and lead a high performing analytics team, while improving data literacy across commercial teams.
• Act as a trusted strategic advisor to senior leadership, providing fast, high quality analytics to support key business decisions.

Global Head of Analytics Strategy, Solutions, Insights

• Design and implement sophisticated targeting models to understand user preferences.
• Develop and optimize bidding policies using advanced optimization algorithms.
• Create and implement meta-models that learn from user interactions.
• Conduct rigorous A/B testing and experimentation to validate hypotheses.
• Take end-to-end ownership of models within the modern ML stack, balancing speed-to-market with robust engineering principles.
• Foster a collaborative environment with direct, constructive feedback.

• Architect and Refine Relevance Models: design and implement sophisticated targeting models that understand user preference within the dynamic ad tech ecosystem. Drive significant improvements in ad performance and user engagement through machine learning techniques.
• Explore Policy Optimization Strategies: Develop and optimize bidding policies using Bayesian method, reinforcement learning and other advanced optimization algorithms. Continuously refine these policies to maximize business KPI and adapt to the ever-changing real-time bidding landscape.
• Build and Deploy Meta-Learning Frameworks: Create and implement meta-models that learn from user interactions, enabling personalized ad experiences.
• Conduct rigorous A/B testing and experimentation: Validate your hypothesis and measure the impact of new features on key business metrics.
• Bridge Ideation and Production: Harden successful experiments into highly scalable solutions. You will take end-to-end ownership of your models within our modern ML stack (Python, Kubernetes on AWS, Airflow, MLFlow, Trino), balancing speed-to-market with robust engineering principles.
• Act as a Team Multiplier: Proactively share your specialized knowledge and engage in healthy architectural debates. You foster a collaborative environment where direct, constructive feedback pushes the entire team to excel.

Senior Data Scientist – f/m/d

• Architect and Refine Relevance Models: Take the lead in designing and implementing sophisticated targeting models that understand user preference within the dynamic ad tech ecosystem. Drive significant improvements in ad performance and user engagement through machine learning techniques.
• Explore Policy Optimization Strategies: Develop and optimize bidding policies using bayesian method, reinforcement learning and other advanced optimization algorithms. Continuously refine these policies to maximize business KPI and adapt to the ever-changing real-time bidding landscape.
• Share knowledge and be a mentor: Boost the entire team’s performance by sharing your knowledge and experience from the industry. Help your colleagues grow professionally by giving advice and mentoring them.
• Build and Deploy Meta-Learning Frameworks: Create and implement meta-models that learn from user interactions, enabling personalized ad experiences.
• Conduct rigorous A/B testing and experimentation: Validate your hypothesis and measure the impact of new features on key business metrics.
• Champion Software Engineering Best Practices: Advocate for best practices, robust software engineering principles, within and outside our data science community.

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Duales Studium – Data Science & Künstliche Intelligenz (B.Sc.)

Data Science Team Leader

Senior Data Scientist

Senior Master Data Manager, Media

Working Student, Data Science, Forecasting

Senior Data Scientist, AI

Senior Data Scientist – Geo-Data

Data Scientist, Reporting

Senior Full-Stack Developer, AI Engineer, Data Scientist

Data Scientist

IT-Server Expert, Informatik, Computer Science, Software-Engineering, Data Science

Senior Data Scientist – All Genders

Data Scientist – Process Intelligence, Celonis

Data Scientist

Data Scientist

Global Head of Analytics Strategy, Solutions, Insights

Senior Data Scientist

Senior Data Scientist – f/m/d

Staff Data Scientist, AdTech Expert