Centric Software is a merchandise planning software company whose services support clients across the consumer goods and fashion industry sectors. As an employe
Senior Data Scientist
Location
Germany
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
Centric Software
Role Description We are looking for a Senior Data Scientist to join our Price Optimization team. In this role, you will design, develop, and maintain optimization solutions that help drive smarter pricing and promotional decisions across retail use cases. This is a senior individual contributor role with technical leadership responsibilities, including solution ownership, mentoring, and cross-functional influence. This position is ideal for someone with a strong background in mathematical optimization and experience applying optimization techniques to real-world business problems such as: - Markdown optimization - Promotion planning - Retail pricing strategies You will work closely with cross-functional teams including Product Managers, Engineering teams, and fellow Data Scientists to deliver scalable, production-ready solutions. Beyond project delivery, we are looking for someone who can help champion optimization as a core capability across the business unit. Our teams operate with end-to-end ownership of the products they build — from solution design and development to deployment, monitoring, and operational support. Qualifications - Master’s or PhD degree in Mathematics, Computer Science, Operations Research, or a related field with a focus on Optimization - 5+ years of experience developing software solutions in Python, preferably in production environments - Strong SQL skills and experience working with large-scale datasets - Experience building and maintaining end-to-end production systems for data science, optimization, or decision automation workflows - Strong understanding of software engineering best practices, including version control, code review, testing, documentation, and agile development - Excellent written and verbal communication skills in English - Ability to collaborate effectively with Product, Engineering, Data Engineering, and business stakeholders Requirements - Lead the design, development, and ownership of Price & Promotions Optimization solutions at Centric Software - Develop scalable optimization models and production-ready data science solutions - Collaborate proactively with Product Managers, Software Engineers, and Data Scientists to deliver integrated solutions - Define and drive optimization strategies for business-critical use cases - Communicate technical concepts effectively to both technical and non-technical stakeholders - Mentor team members on best practices in data science, optimization, and distributed computing - Produce clear and maintainable technical documentation for architectures, workflows, and operational processes - Contribute to a culture of continuous improvement, innovation, and knowledge sharing Preferred Qualifications - Experience applying optimization techniques in retail domains such as pricing, markdowns, or promotions - Exposure to operations research techniques, mathematical programming (linear and mixed-integer programming), or large-scale optimization systems - Experience building and maintaining end-to-end production systems for data science or optimization workflows - Familiarity with Databricks, Spark, and distributed computing frameworks - Experience with cloud platforms such as AWS - Experience working with Backend and Data Engineers Benefits - Equal employment opportunities to all qualified applicants - Commitment to building an inclusive, equitable, and diverse team
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
• Lead the design and implementation of next-gen media measurement and optimization capabilities, integrating marketing mix, long term brand equity measurement, in-flight measurement (e.g., lift studies, A/B testing), pre-market factors that affect media (e.g., creative testing) • Develop media-driven volume forecasting tools to integrate into McCormick’s demand forecasting platform • Drive and leverage external connections to find new and improved tools and approaches to bring into McCormick • Partner with vendors used for outsourced models, serving as lead consultant on technical methodology alignment integration with new capabilities • Develop training content that enables business partners to use marketing optimization capabilities more effectively
• Lead and execute data science projects, including predictive modeling, algorithm design, and data pipelines; • Develop innovative, industry-leading campaign data science models, specifically partisanship and turnout models; • Independently (and often collaboratively) explore data sets for insights and understanding what can help drive product development and feature prioritization; • Transform data into actionable and compelling insights through analysis and visualization, and then effectively communicate these data-driven stories to internal and external stakeholders through memos and presentations; • Collaborate with the Engineering Team to take data science products and concepts into production; • Provide guidance and mentoring to level-up junior data scientists in both formal and informal learning sessions; • Apply emerging AI technologies to R&D challenges; you’ll prototype novel approaches, evaluate feasibility, and bridge the gap between cutting-edge capabilities and practical usability.
• Develop and deploy analytical models on data and processes to generate insights, support automation, and improve decision-making. • Collaborate with digital product teams and internal stakeholders to shape, enable, and migrate production workflows. • Apply statistics, artificial intelligence, and machine learning techniques to large data sets. • Use multiple programming languages and data transformation tools to support model development and analysis. • Work with databases, data structures, and data architectures to support scalable analytical solutions. • Create visualizations, presentations, and clear quantitative summaries for technical and non-technical audiences. • Explore and adopt new technologies provided by IT engineering and cybersecurity teams. • Work independently with limited supervision while maintaining strong attention to detail and effective team collaboration. • Mentor junior cyber data scientists.
• Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections • Design and run experiments to optimise approval rates, loss rates, and profitability • Partner with product squads to embed decision logic into real-time systems • Ensure data quality, compliance, and ethical use of models across all decisioning processes • Mentor product squads on best practices in experimentation and data-driven decision making • Provide models to optimise outcomes in collections, churn management and user retention




