Senior Data Scientist – Operations Research

Jobtailor; Deutschland; Vor Ort; EUR 110.000 - 170.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks a senior Data Scientist specializing in supply chain optimization and inventory allocation. You will refactor a Python-based optimization algorithm, apply predictive modeling, and collaborate with cross-functional teams to translate business needs into data-driven solutions.

The role requires 10+ years of DS experience, advanced degrees, and expertise with solvers like CPLEX/Gurobi, Python/PySpark/SQL. You will drive replenishment strategies and KPI-driven improvements.

Qualifikationen

• 10+ years of experience as a Data Scientist focusing on supply chain optimization and inventory allocation.
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
• Experience with mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
• Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
• Strong proficiency in Python, PySpark and SQL; experience with data analysis and ML libraries.

Aufgaben

• Refactor the optimization algorithm in Python using object-oriented design.
• Apply data science methods to supply chain optimization challenges in Retail/CPG.
• Develop and implement predictive models to improve inventory management and reduce stockouts.
• Design experiments to evaluate replenishment strategies and allocation policies.
• Monitor KPIs for replenishment and allocation; provide continuous improvement recommendations.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Stay updated on industry trends in data science and optimization to drive innovation.
• Mentor and collaborate with a growing team of Data Scientists.

Kenntnisse

Python

Object Oriented Programming

data science algorithms

predictive models

optimization algorithms

statistical methods

optimization techniques

predictive modelling

Pyspark

SQL

Ausbildung

MS in Computer Science

PhD in Computer Science

MS in Operations Research

PhD in Operations Research

MS in Applied Mathematics

PhD in Applied Mathematics

MS in Machine Learning

PhD in Machine Learning

Tools

Gurobi

Xpress MP

CPLEX

Google OR Tools

Jobbeschreibung

• Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
• Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG
• Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization
• Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies
• Monitor and analyze key performance indicators related to replenishment and supply chain allocation, and provide recommendations for continuous improvement
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization
• Collaborate, coach, and learn with a growing team of experienced Data Scientists

Requirements

• Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field
• Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications
• Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts
• Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries
• Ability to apply various analytical models to business use cases
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders

Hard Skills

• Python
• Object Oriented Programming
• data science algorithms
• predictive models
• optimization algorithms
• statistical methods
• optimization techniques
• predictive modelling
• Pyspark
• SQL

Soft Skills

• communication skills
• collaboration skills
• coaching
• problem-solving
• analytical skills

Certifications & Qualifications

• MS in Computer Science
• PhD in Computer Science
• MS in Operations Research
• PhD in Operations Research
• MS in Applied Mathematics
• PhD in Applied Mathematics
• MS in Machine Learning
• PhD in Machine Learning

Industry Keywords

• supply chain optimization
• inventory allocation
• replenishment strategies
• allocation policies
• key performance indicators
• continuous improvement
• business use cases

Tools & Technologies

• Gurobi
• Xpress MP
• CPLEX
• Google OR Tools