Senior Data Scientist – Operations Research

🕒 August 4

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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👻 Ghost score 24%

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Refactor the optimization algorithm written in Python using object-oriented programming • Apply data science to business problems in supply chain and optimization for retail and/or CPG • Use advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable pricing optimization insights • Develop predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize supply-chain resource allocation • Collaborate with cross-functional teams to translate business requirements into data-driven solutions • Design and execute experiments evaluating replenishment strategies and allocation policies • Monitor and analyze replenishment and supply-chain allocation KPIs and recommend continuous improvements • Track industry trends and best practices in data science, replenishment optimization, and supply-chain management • Collaborate with, coach, and learn from a growing team of Data Scientists

🎯 Requirements

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

🏖️ Benefits

• Significant career development opportunity • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities protected by federal, state, or local law

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