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You will partner with clients to translate business requirements into data models and lead technical conversations regarding data science and engineering. Additionally, you will prototype solutions in Python and design A/B tests to drive evidence-based pricing and inventory decisions.
About Centric Software:
Centric Software® is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.
Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.
Job title: (Senior) Data Scientist / Consultant
Location: Remote (USA)
About the Role
At Centric, we help some of the world’s most recognized fashion, beauty, and home brands decide what to stock, what to promote, and what to charge — and we help them do it with AI. As a (Senior) Data Scientist / Consultant, you’ll pair deep analytical expertise with a consulting mindset: building advanced models and working directly with the clients who rely on them, so your analysis ends in decisions that move the business.
It’s a strong fit if you enjoy solving hard problems, can explain a complex method in plain language, and like working with international teams to deliver solutions that break new ground.
What You’ll Do
Customer & Project Engagement
Data & Model Ownership
Collaboration & Delivery
What You Bring
Must-Haves
Perfect-to-Haves
Why Join Us
If this sounds like your next step, we would be glad to hear from you.
Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.
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