Senior Data Scientist / Consultant

Summary

Centric Software provides an AI-enabled product-concept-to-commercialization platform for retailers, brands, and manufacturers. The Senior Data Scientist / Consultant builds advanced statistical and machine learning models, translates customer requirements into data solutions, and works directly with clients and project teams to support pricing, promotion, and inventory decisions.

Responsibilities

• 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
• 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
• 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

Skills

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

Qualifications

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

Nice to Haves

• 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.