Pricing Data Scientist (Pricing Analyst)

Radwell International is a global provider of automation, MRO, and electrical solutions. The company is seeking a Pricing Data Scientist/Pricing Analyst to develop and optimize data-driven pricing strategies using advanced analytics and machine learning. The role analyzes market and customer data, builds pricing models, monitors competitive intelligence, and presents recommendations to stakeholders.

What you'll do:

• Pricing Strategy and Optimization: Design and implement data-driven pricing strategies that align with the company's revenue and profit goals, taking into account market conditions, customer behavior, and competitor pricing. Build in-house price optimization engine applying machine learning and optimization techniques to determine optimal pricing and discounting strategies for products and services
• Data Analysis & Insights: Analyze large (sometimes messy and incomplete) datasets, including sales, customer, and market data, to uncover insights and trends that can inform pricing decisions. Build and maintain pricing models to forecast demand elasticity, optimize price points, and identify opportunities for margin improvement
• Competitive Intelligence: Monitor competitor pricing, market trends, and industry benchmarks to inform pricing models and strategy. Provide recommendations based on competitive analysis and customer segmentation
• Collaboration: Work closely with cross-functional teams such as Marketing, Product, and Finance to ensure pricing strategies are aligned with overall business objectives and market positioning
• Reporting & Presentation: Prepare and present pricing analysis, insights, and recommendations to senior management and key stakeholders, ensuring that data-driven decisions are easily understood and actionable
• Continuous Improvement: Stay current with developments in data science, machine learning, and pricing methodologies. Continuously assess the performance of pricing strategies and iterate based on feedback and market conditions

What they're looking for:

• 1+ years of experience in analytics, pricing science, revenue management, or a similar analytical role
• Proven experience with pricing models, pricing optimization techniques, and demand forecasting
• Familiarity with machine learning, regression models, and statistical analysis in the context of pricing
• Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R, Excel, etc.)
• Solid understanding of pricing strategies, elasticity, segmentation, and competitive analysis
• Ability to interpret complex data and translate it into actionable pricing recommendations
• Strong problem-solving skills and a creative, data-driven mindset
• Excellent communication and presentation skills, with the ability to explain technical findings to non-technical stakeholders
• Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field (Master's or Ph.D. is a plus)

Benefits:

• Health coverage available to all regular full-time employees beginning on first day of employment.
• Dental coverage available to all regular full-time employees beginning on first day of employment.
• Vision coverage available to all regular full-time employees beginning on first day of employment.
• Company-sponsored short-term disability benefits available to all regular full-time employees beginning on first day of employment.
• Company-sponsored long-term disability benefits available to all regular full-time employees beginning on first day of employment.
• $50,000 in life insurance available to all regular full-time employees beginning on first day of employment.
• Additional voluntary benefits available to all regular full-time employees beginning on first day of employment.
• Automatic enrollment at 3% into the Company’s 401(k) Plan on the first of the month following 90 days of continuous employment.
• Common paid Company Holidays.
• 15 days of PTO annually, beginning to accrue on the first date of employment and available for immediate use upon joining the team.