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# Senior Data Scientist - Operation Research

- **Company:** Tiger Analytics
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, IBM ILOG CPLEX Optimization Studio (CPLEX), Python (Programming Language), Machine Learning, Mathematical Programming, Object-Oriented Software Development, SQL Databases, Pyspark, Information Technology, Optimization Algorithms, Data Analytics, Machine Learning Operations, Software Library
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c0217ec81f557485

## About the Role

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team., * Proven experience 6+ 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.
 * Experience with MLflow and model lifecycle management
 * Experience building end-to-end ML pipelines in production
 * 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.

## Description

* 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 (KPIs) 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.


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