Operation Research Scientist – Demand Planning, Forecasting

Job not on LinkedIn

🔥 2 minutes ago

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Analyze large datasets using advanced statistical techniques and data science algorithms for pricing optimization • Develop predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize 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 KPIs related to replenishment and supply chain allocation • Provide recommendations for continuous improvement • Stay current with industry trends and best practices • Collaborate, coach, and learn with 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 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 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, deliver solutions, and explain to business stakeholders

🏖️ Benefits

• Significant career development opportunities • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities