Pricing Data Scientist (Ref: 197980)

About Us

Our client supplies new and surplus industrial equipment for automation, MRO, pneumatic, motion, electronic, hydraulic, HVAC and electrical control applications. Serving plant-floor operations and facilities-maintenance teams, the retail business manages a broad technical product range from its headquarters in Willingboro, New Jersey. Its commercial model depends on matching varied customer needs with dependable product availability and disciplined pricing across complex categories.

With operations spanning industrial supply and home improvement and hardware retail, this organisation combines technical product knowledge with a high-volume, data-informed commercial environment. Pricing decisions influence customer value, inventory movement and profitability across a diverse catalogue, creating strong scope for analytical professionals to deliver measurable business results.

Job Description

The Pricing Data Scientist will turn complex commercial data into pricing decisions that strengthen revenue, margin and customer value. This role will examine how prices perform across products, customers, channels and market conditions, then translate findings into practical recommendations that improve pricing discipline and commercial outcomes.

Success will involve building trusted analysis, improving the quality and speed of pricing insight, and helping stakeholders act confidently on evidence. The position combines statistical thinking, data engineering and business judgement, with responsibility for developing repeatable analytical solutions rather than producing isolated reports.

Working with Pricing, Merchandising, Sales, Finance, Operations and senior business leaders, the role will assess performance, model scenarios and support pricing optimisation initiatives. Clear communication will be essential, as findings must be presented in a way that enables both technical specialists and commercial decision-makers to understand the implications and act on them.

The successful candidate will contribute to a more systematic pricing capability by strengthening data foundations, automating recurring analysis and identifying opportunities hidden within large product and transaction datasets. A strong focus on accuracy, commercial relevance and measurable impact will define performance in the role.

Key Responsibilities

• Evaluate price, cost, sales, customer, inventory and product data to uncover revenue and margin opportunities.
• Design, test and refine pricing analyses, models and decision-support tools for a diverse industrial product catalogue.
• Measure price performance through metrics such as elasticity, margin contribution, price-volume-mix and competitive positioning.
• Build reliable SQL datasets, recurring reports and analytical workflows that improve access to pricing intelligence.
• Apply Python, statistical methods and data science techniques to forecasting, segmentation, scenario modelling and optimisation problems.
• Investigate unusual pricing, sales or margin movements and identify the commercial drivers behind observed trends.
• Partner with Pricing, Sales, Finance, Merchandising and Operations to define analytical questions and convert results into action.
• Present recommendations to senior stakeholders using concise narratives, clear visualisations and commercially relevant evidence.
• Establish data-quality checks and validation processes to support accurate pricing decisions and dependable reporting.
• Monitor the impact of pricing changes and recommend adjustments based on realised performance.
• Automate manual pricing analysis and contribute to scalable processes, documentation and analytical standards.
• Support scheduled pricing reviews, executive reporting and time-sensitive investigations as business priorities evolve.

Requirements

• Hold a bachelor’s degree in data science, statistics, mathematics, economics, finance, business analytics, computer science or a related quantitative discipline.
• Bring approximately 3–7 years of experience in pricing analytics, data science, revenue management, commercial analytics, business intelligence or a comparable field.
• Demonstrate advanced SQL capability, including joining complex datasets, creating reusable queries and validating analytical outputs.
• Use Python confidently for data preparation, statistical analysis, modelling, automation and exploratory investigation.
• Understand core pricing and commercial concepts, including margin, elasticity, price-volume-mix, segmentation and profitability analysis.
• Apply sound statistical reasoning when assessing patterns, relationships, forecasts and the likely impact of pricing actions.
• Work effectively with large, imperfect datasets while maintaining a disciplined approach to data quality and reproducibility.
• Translate technical analysis into clear recommendations for stakeholders with different levels of analytical expertise.
• Demonstrate strong commercial judgement, structured problem-solving skills and the ability to prioritise high-value questions.
• Use Microsoft Excel at an advanced level, including pivot tables, lookups, scenario analysis and data interpretation.
• Communicate confidently in written, verbal and presentation formats, including with senior leaders.
• Manage multiple analytical initiatives while meeting reporting deadlines and maintaining attention to detail.

Additional experience that would strengthen an application includes:

• Experience developing pricing, demand, propensity, forecasting or optimisation models in a retail, distribution or industrial supply environment.
• Familiarity with Power BI, Tableau or comparable business intelligence and visualisation platforms.
• Exposure to Databricks, Snowflake, cloud data warehouses or modern analytical engineering environments.
• Knowledge of experiment design, causal analysis or methods for measuring pricing-change effectiveness.
• Experience integrating ERP, e-commerce, CRM, inventory or transaction data for commercial analysis.
• Evidence of delivering analytical automation that improved decision speed, accuracy or operational efficiency.

Benefits

• Meaningful ownership of pricing initiatives with a direct connection to revenue growth, margin improvement and customer value.
• Broad exposure to industrial automation, MRO, hardware and facilities-maintenance categories, supporting continued commercial and product learning.
• Opportunity to influence pricing strategy across a substantial and technically varied product assortment.
• Close interaction with senior commercial, financial, sales and operational stakeholders, providing strong visibility for high-quality work.
• Scope to modernise reporting, automate repetitive analysis and help establish more mature data-science practices.
• Access to complex real-world datasets that support rigorous modelling, experimentation and professional development.
• Professional growth through work spanning pricing science, retail economics, forecasting, product analytics and business strategy.
• A role based in Downers Grove, Illinois, within an established organisation with a long operating history dating back to 1979.

Other

The position is based in Downers Grove, Illinois, and is suited to an analytical professional who wants their work to influence tangible commercial decisions. The strongest candidates will combine technical depth with curiosity about products, customers, inventory and the practical realities of industrial retail.

Applicants should be prepared to demonstrate how they have converted data into action, improved an analytical process or influenced a pricing or profitability outcome. Experience from retail, distribution, manufacturing, wholesale, revenue management or another data-rich commercial setting may provide relevant preparation.