Data Science Manager (Competitive Intelligence) (Ref: 187610)

Our client is a distinguished leader in the Automation, MRO (Maintenance, Repair, and Operations), and Electrical solutions sectors, boasting over 45 years of industry experience. As a global entity, they excel in delivering premium services that enable their customers to enhance operational uptime and efficiency. Their offerings include a wide spectrum of new and refurbished components, particularly those that are hard to find or obsolete. Furthermore, their skilled repair technicians focus on expediting the return of customers’ parts to operational status. With a presence spanning the United States, Canada, Mexico, and Europe, this organization is poised for consistent growth and innovation.

Position Overview:

Our client is actively seeking an analytical and results-oriented Data Science Manager focused on Competitive Intelligence. This full-time role, based in Downers Grove, IL, entails the collection and analysis of competitor pricing data to yield actionable insights that will influence the organization's pricing strategies. In collaboration with various internal teams, particularly IT, you will ensure data reliability and establish frameworks for data collection. The ideal candidate will possess a mix of analytical expertise, strategic vision, and strong communication skills to facilitate cross-functional coordination.

• Team Leadership: Guide and mentor a team of pricing analysts and scientists, fostering a collaborative culture focused on continuous improvement.

• Competitive Intelligence & Market Research: Oversee the collection and analysis of competitor pricing data, market dynamics, and customer behaviors, providing insights that can identify pricing opportunities or risks.

• Technological Integration: Utilize competitive intelligence tools and analytical platforms to streamline processes. Implement programming in Python or R to create validation frameworks that can efficiently manage and analyze extensive datasets.

• Pricing Strategy Development: Develop data-driven pricing strategies that align with the organization’s objectives. Implement a pricing optimization engine that incorporates machine learning techniques to refine pricing and discounting strategies.

• Data Analysis & Insights: Investigate complex datasets to extract insights that inform pricing strategies. Maintain pricing models that assess demand elasticity and pinpoint opportunities for margin enhancements.

• Cross-Functional Collaboration: Work closely with Marketing, Product Development, and Finance teams to ensure that pricing strategies align with broader business goals.

• Reporting & Communication: Prepare and present pricing analysis and recommendations to senior management and key stakeholders, ensuring clarity and actionable insights.

• Continuous Improvement: Remain current with advancements in data science and pricing methodologies, continuously optimizing strategies based on data feedback and market trends.

• Education:
  Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business Administration, or a related field; a Master's degree is preferred.

• Experience:
  Minimum of 5 years of experience in analytics, pricing strategies, revenue management, or a closely related role.

• Proven history of developing pricing models and executing pricing optimization strategies.

• Experience with machine learning, regression techniques, and statistical analysis relevant to pricing.

• Demonstrated ability to manage teams and lead cross-functional initiatives.

• Attractive salary with performance-based incentives.

• Comprehensive health and well-being benefits.

• Opportunities for professional growth and advancement.

• Flexible working arrangements to support work-life balance.

This organization values innovation and is in search of a candidate eager to make a tangible impact through strategic pricing initiatives. This position is well-suited for a motivated individual thriving in dynamic environments and passionate about applying data science in a business context.