Senior Data Scientist – Operation Research

This is a fully remote position, open to applicants in Texas.

📋 Description

• Accountable for refactoring the Optimization algorithm developed in Python using Object-Oriented Programming principles.

• Engage with the latest applications of data science to tackle business challenges in the Supply Chain and optimization sectors of Retail and/or CPG.

• Employ sophisticated statistical methods and data science algorithms to analyze extensive datasets, extracting actionable insights related to Pricing Optimization.

• Create and implement predictive models and optimization algorithms aimed at enhancing inventory management, minimizing stockouts, and optimizing resource allocation throughout the supply chain.

• Collaborate with cross-functional teams to comprehend business requirements and convert them into data-driven solutions.

• Design and carry out experiments to assess the effectiveness of varying replenishment strategies and allocation policies.

• Monitor and evaluate key performance indicators (KPIs) associated with replenishment and supply chain allocation, offering recommendations for ongoing enhancement.

• Keep up-to-date with industry trends and best practices in data science, replenishment optimization, and supply chain management, utilizing this knowledge to foster innovation within the organization.

• Collaborate, mentor, and learn alongside a growing team of skilled Data Scientists.

⛳️ Requirements

• A minimum of 10 years of proven experience as a Data Scientist, with an emphasis on supply chain optimization and inventory allocation.

• Master’s or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related discipline.

• Proficient in utilizing mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in practical applications.

• Strong understanding of statistical methodologies, optimization techniques, and predictive modeling concepts.

• Excellent proficiency in programming languages including Python, Pyspark, and SQL, along with experience in data analysis and machine learning libraries.

• Capability to apply various analytical models to real-world business scenarios.

• Outstanding communication and collaboration skills to grasp business partner requirements and deliver solutions while explaining them to business stakeholders.

🏝️ Benefits

• This role presents a remarkable opportunity for substantial career advancement in a rapidly evolving and challenging entrepreneurial environment, with a significant degree of individual accountability.

• ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***