Senior Data Scientist specializing in Supply Chain Optimization and Inventory Management

New York 19 days agoFull-time External
Negotiable
Description We are seeking a Senior Data Scientist to pioneer what AI and analytics can do to solve some of the toughest problems faced by organizations globally. Our company develops bespoke solutions powered by data and technology for several Fortune 100 companies and is a market leader in AI and analytics consulting in the CPG & retail industry. With over 40% of our revenues coming from this sector, we are enhancing our talent pool to support our fastest-growing area. The ideal candidate will have a strong blend of data analytics background, practical experience in optimizing replenishment strategies, and robust coding skills. Company Culture and Environment We foster a culture of innovation and collaboration, encouraging our team to stay abreast of industry trends and best practices. Our environment supports continuous learning and development through mentorship and teamwork, allowing employees to thrive. Career Growth and Development Opportunities Joining our team offers the chance to work on cutting-edge applications of data science, as well as the opportunity to collaborate with a growing team of experienced Data Scientists, enhancing your skills and career trajectory. Detailed Benefits and Perks While specific benefits and perks are not listed, our commitment to employee growth and collaboration suggests an environment where professional development is prioritized. Compensation and Benefits Competitive salary based on experience Health, dental, and vision insurance Retirement savings plan Flexible working hours and a remote work option Opportunities for professional development and continuous learning Why you should apply for this position today This is a unique opportunity to directly influence business operations through advanced data science applications in the supply chain and optimization space, making a real impact in a leading company within the CPG and retail sectors. Skills 10+ years of experience as a Data Scientist, focusing on supply chain optimization and inventory allocation Proficiency in programming languages such as Python, Pyspark, and SQL Experience with mathematical programming solvers like Gurobi, Xpress MP, CPLEX, or Google OR Tools Strong understanding of statistical methods, optimization techniques, and predictive modeling concepts Exceptional communication and collaboration skills Ability to apply analytical models to business use cases Responsibilities Refactor the Optimization algorithm written in Python using Object Oriented Programming Solve business problems in supply chain and optimization within Retail and/or CPG Analyze large datasets using advanced statistical techniques and data science algorithms Develop and implement predictive models and optimization algorithms Collaborate with cross-functional teams to translate business requirements into data-driven solutions Monitor and analyze key performance indicators (KPIs) related to replenishment and allocation Stay informed about industry trends to drive innovation Coach and collaborate with a growing team of Data Scientists Qualifications Proven experience in supply chain optimization and inventory allocation MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field Education Requirements Master’s degree or PhD in a relevant field Education Requirements Credential Category Advanced degree in Data Science or related disciplines Experience Requirements Minimum of 10 years in a relevant Data Scientist role with a focus on supply chain optimization Why work in New York, NY New York City is a vibrant hub for innovation, culture, and career opportunities. With a diverse range of industries and a strong tech ecosystem, living and working in NYC offers unparalleled networking possibilities and access to leading professionals in various fields. The city’s rich cultural landscape, culinary delights, and various recreational activities create a stimulating environment that enhances both personal and professional growth.