Data Scientist

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

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Data Scientist

Location:

Fort Worth, TX, US, 76118

Function: Procurement

Work Location: Hybrid

About RS Group

RS is a high-service global product and service solutions provider for industrial customers, enabling them to operate efficiently and sustainably.

We operate in 33 markets, stock over 875,000 industrial and specialist products and list an additional five million relevant for our industrial customers, sourced from over 2,500 suppliers. This extensive range supports our customers across the industrial lifecycle of designing, building and maintaining equipment and operations. We enhance their experience through a tailored service model, leveraging our efficient physical, digital and process infrastructure sustainably. We combine a technically led and digitally enabled approach with an exceptional team of experts; ultimately, it’s our people that make the difference.

Our purpose, making amazing happen for a better world, reflects our focus on delivering results for people, planet and profit.

This role sits at the center of a strategic transformation to modernize sales quoting, pricing, and revenue processes through the implementation of Salesforce Revenue Cloud and related platforms.

About the Role

Role Purpose

The Data Scientist plays a critical role in driving profitable growth by identifying, analysing, and delivering data-driven insights that optimise margin performance across the organisation. This role leverages advanced analytics, statistical modelling, and machine learning techniques to uncover pricing, cost, and product mix opportunities within an industrial and electronics distribution environment.

Responsibilities

• Working closely with pricing, sales, procurement, and finance teams, the Data Scientist translates complex data into actionable recommendations that support strategic decision-making
• Analyse margin/growth performance across customers, products, suppliers, and channels to identify improvement opportunities
• Detect margin leakage drivers such as discounting, pricing inconsistencies and cost fluctuations
• Analyse win/loss data, deal-level performance, and competitive pricing trends
• Develop predictive models for demand, price elasticity, and customer behaviour
• Apply machine learning techniques to identify cross-sell, upsell, and mix optimisation opportunities
• Aggregate and transform large datasets Sales, Customer, Product, Competitor
• Provide clear, actionable insights through storytelling (narrative building)
• Enable self-service analytics for business stakeholders
• Track and measure realised impact of implemented initiatives
• Support RS through gaining deep understanding of various areas of the business, bringing fresh ideas and ways of thinking to change strategy and policy
• Maintain documentation for models, data pipelines, and methodologies
• Ensure compliance with data governance and internal policies
• Promote best practices in analytics and data science across the organisation

How I make a difference in this role

You bridge the gap between analytics and business execution by translating complex models into clear, actionable recommendations that sales, pricing, and procurement teams can use in real decisions (e.g., deal pricing, contract negotiations).

Candidate Requirements

• Python
• Advanced SQL
• Advanced statistics and machine learning knowledge
• Advanced data engineering and feature building
• Reasonable level of price theory (willingness to pay, share of wallet, elasticity etc)
• Stakeholder management (simplifying advanced concepts into narratives/visualisations)
• Strong problem solving
• Strong ideation
• Strong interpersonal skills, willing to work in group-projects
• Snowflake/AWS
• Spark/Databricks

Essential Qualifications (Must be evidenced at offer stage)

• Bachelor’s degree in a technical or related field or equivalent experience.

RS Americas is an equal opportunity employer and maintains policies and practices that are designed to prevent and prohibit unlawful discrimination against any qualified employee or applicant on the basis of race, colour, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, military/veteran status, disability, genetic information, citizenship status, or any other unlawful classification to the extent protected by law. This policy of nondiscrimination applies to all employment practices, including hiring, compensation, benefits, promotion, training and termination. Employees who engage in unlawful discrimination will be subject to disciplinary action, up to and including termination.