Posted 3 days ago
Senior Data Scientist / Consultant
AI Summary
Builds and validates statistical and machine learning models for pricing, promotions, and inventory optimization, partnering directly with clients and project teams to translate business needs into data-driven solutions.
About this role
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
- Partner with project managers, consultants, and clients across the full arc of an onboarding project.
- Turn business processes and customer requirements into concrete data transformations and modelling approaches.
- Make technical concepts land with non-technical stakeholders clearly.
Data & Model Ownership
- Own the technical conversation: you are the go-to contact for data science and data engineering topics.
- Keep data flows accurate, stable, and well documented
- Design, prepare, and analyze A/B tests that settle open questions with evidence.
- Train and validate statistical and machine learning models that quantify what pricing, promotions, and inventory decisions really do to the business.
Collaboration & Delivery
- Prototype with product management and take the good ideas all the way to efficient, well-tested code in Python.
- Track project-specific effort and keep solution documentation reliable and complete.
- Align customers and partners on data formats and transmission schedules.
What You Bring
Must-Haves
- Excellent SQL skills and outstanding analytical instincts.
- 3+ years in data analytics, ideally in retail or consumer products.
- Hands-on experience with Python (Pandas, NumPy, Statsmodels).
- Strong communication skills in English, and the ability to make data concepts clear to a non-technical audience.
- A degree in computer science, data science, mathematics, statistics, physics, economics, or a related field.
Perfect-to-Haves
- Experience with big data environments such as PySpark.
- Familiarity with statistical modeling or behavioral price effects.
- Additional languages beyond English.
Why Join Us
- Competitive salary and benefits.
- A multifaceted role with real responsibility and a broad spectrum of opportunities at the forefront of applied AI.
- Varied, challenging work that keeps your technical skillset growing.
- The flexibility of remote work, alongside a dedicated and motivated global team with deep expertise in pricing and inventory optimization.
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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