Senior Data Scientist – Optimization

Job not on LinkedIn

October 17

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Tiger Analytics

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Artificial Intelligence • B2B • Consulting

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.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 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 replenishment optimization and inventory allocation. • 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.

🎯 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.

🏖️ Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. • 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.