Hybrid Data Scientist: Pricing & Margin Analytics

Rsgroup; Fort Worth, Northern (TX, KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

RS Group is seeking a Data Scientist in Fort Worth, TX, to drive profitable growth by identifying data-driven insights that optimize margins. The role focuses on pricing, cost, and product mix opportunities within an industrial distribution environment and collaborates with pricing, sales, procurement, and finance teams.

The candidate will build predictive models, apply ML techniques, and enable self-service analytics for business stakeholders, while ensuring governance and documentation across

Qualifications

• Bachelor’s degree in a technical or related field or equivalent experience.
• Proficiency in Python and Advanced SQL for data analysis.
• Experience with Snowflake, AWS, Spark, and Databricks.

Responsibilities

• Translate complex data into actionable recommendations for pricing, sales, procurement, and finance.
• Analyze margin and growth performance across customers, products, suppliers, and channels.
• Detect margin leakage drivers such as discounting and price inconsistencies.
• Develop predictive models for demand, price elasticity, and customer behaviour.
• Enable self-service analytics for business stakeholders.
• Maintain documentation for models, data pipelines, and methodologies.
• Ensure compliance with data governance and internal policies.
• Promote analytics best practices across the organisation.

Skills

Python

Advanced SQL

Statistics & ML

Data Engineering

Price theory

Stakeholder Mgmt

Problem Solving

Ideation

Interpersonal Skills

Snowflake

AWS

Spark

Databricks

Education

Bachelor’s degree in a technical or related field

Tools

Snowflake

AWS

Apache Spark

Databricks

Job description

RS Group is seeking a Data Scientist in Fort Worth, TX, to drive profitable growth by identifying data-driven insights that optimize margins. The role focuses on pricing, cost, and product mix opportunities within an industrial distribution environment and collaborates with pricing, sales, procurement, and finance teams.

The candidate will build predictive models, apply ML techniques, and enable self-service analytics for business stakeholders, while ensuring governance and documentation across