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Data Scientist/ Senior Data Scientist - Assortment Planning

posted by: spj_bot

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist / Data Scientist with strong experience in Assortment Planning, Retail Analytics, and Inventory Management. The ideal candidate will drive data-driven decision-making across merchandising, supply chain, and planning teams by building predictive models and optimization solutions that improve product assortment, demand forecasting, and inventory efficiency.

Key Responsibilities

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Optimization Scientist - (Remote - US)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an Optimization Scientist in the United States.

We are seeking a highly analytical Optimization Scientist to drive innovation at the intersection of artificial intelligence, national defense, and commercial operations. This role focuses on developing advanced mathematical models and applying cutting-edge optimization techniques to solve complex, real-world problems. You will collaborate closely with engineers, analysts, and domain experts, playing a hands-on role in building solutions that directly impact strategic outcomes. This is a fast-paced, flat team environment ideal for someone who thrives on autonomy, intellectual challenge, and purpose-driven work.

Accountabilities:

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