[Hiring] Senior Data Scientist / Consultant @Centric Software

Role Description

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.

Qualifications

• 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.

Requirements

• Experience with big data environments such as PySpark.
• Familiarity with statistical modeling or behavioral price effects.
• Additional languages beyond English.

Benefits

• 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.