Data Scientist

RS Americas; Fort Worth (TX); Hybrid; USD 120,000 - 150,000; Full time

Job summary

RS Americas is seeking a Data Scientist in a hybrid role based in Fort Worth, TX. You will use advanced analytics, statistical modeling, and machine learning to uncover pricing, cost, and product mix opportunities that support sales quoting and revenue transformation.

You will collaborate with pricing, sales, procurement, and finance teams to translate complex data into actionable recommendations and build predictive models for demand, price elasticity, and customer behavior.

Qualifications

• Bachelor’s degree in a technical or related field or equivalent experience.
• Proficient in Python and SQL with strong statistics and ML knowledge.
• Experience building scalable data pipelines and feature engineering.

Responsibilities

• Collaborate with pricing, sales, procurement, and finance to translate data into actionable recommendations.
• Analyze margin and growth across customers, products, suppliers, and channels to identify improvements.
• Build predictive models for demand, price elasticity, and customer behavior.
• Surface cross-sell, upsell, and mix optimization opportunities using machine learning.

Skills

Python

Advanced SQL

Statistics & ML

Data engineering & feature building

Pricing theory & elasticity

Stakeholder management

Problem solving

Interpersonal skills

Education

Bachelor’s degree in technical field

Tools

Snowflake

AWS

Spark

Databricks

ERP

SAP

Salesforce

PowerBI

Job description

RS Americas is seeking a Data Scientist to help drive profitable growth through data-driven insights that strengthen margin performance. In a hybrid role based in Fort Worth, TX, you will use advanced analytics, statistical modeling, and machine learning to uncover pricing, cost, and product mix opportunities that support sales quoting and the transformation of pricing and revenue processes.

What you will do

• Collaborate with pricing, sales, procurement, and finance teams to translate complex data into actionable recommendations for strategic decision-making
• Analyze margin and growth performance across customers, products, suppliers, and channels to identify improvement opportunities
• Identify margin leakage drivers including discounting, pricing inconsistencies, and cost fluctuations
• Evaluate win/loss data, deal-level performance, and competitive pricing trends
• Build predictive models for demand, price elasticity, and customer behavior
• Use machine learning to surface cross-sell, upsell, and mix optimization opportunities
• Aggregate and transform large datasets spanning Sales, Customer, Product, and Competitor information
• Share results through storytelling using clear, actionable insights
• Enable self-service analytics for business stakeholders
• Track and measure the realized impact of implemented initiatives
• Develop deeper understanding of business areas and introduce fresh ideas that can influence 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 organization

Key requirements

• Python
• Advanced SQL
• Advanced statistics and machine learning knowledge
• Advanced data engineering and feature building
• Reasonable level of price theory, including willingness to pay, share of wallet, and elasticity
• Stakeholder management, including simplifying advanced concepts into narratives and visualizations
• Strong problem solving and ideation
• Strong interpersonal skills and willingness to work in group projects
• Bachelor’s degree in a technical or related field, or equivalent experience

Technologies

• Python, SQL, Snowflake, AWS
• Spark, Databricks
• ERP, SAP, Salesforce
• Powerbi

Desirable skills and experience

• Snowflake/AWS
• Spark/Databricks
• ERP/SAP/Salesforce
• Powerbi

How you make a difference: You bridge analytics and business execution by turning complex models into clear recommendations that sales, pricing, and procurement teams can apply to real decisions, including deal pricing and contract negotiations.