Job title: (Senior) Data Scientist / ConsultantLocation: Remote (USA)
About the RoleAt 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 DoCustomer & 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 BringMust-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.
