Position Summary:

Data Scientist Manager, Precision eControl, LLC, Cincinnati, OH. Leads the analysis of client marketplace and brand data, applying a full range of tools - including SQL, R, Python, Power BI, and proprietary platforms to drive insights, automation, and measurable value. This hands-on role emphasizes technical execution while providing strategic input and collaboration across teams of analysts, data scientists, and other cross-functional partners. The Data Science Manager champions data-driven decision-making across client engagements and internal initiatives, ensuring analytical excellence and business impact. Employee may work from any location in the U.S., subject to company remote work policy.

Essential Functions:

• Leads the development and adoption of best practices for integrating data science across the eControl platform and processes
• Mentors a high-performing data science and analytics team that is collaborative, results-driven, and focuses on developing strategic solutions to advance client business outcomes.
• Partners closely with legal teams to understand eControl methodologies and uncover opportunities for innovation, efficiency, and automation.
• Drives thought leadership through research initiatives that contribute to business growth and competitive advantage.
• Designs and implements scalable data science frameworks that enable consistent, data-driven decision-making across the organization.
• Collaborates with engineering and architecture leadership to ensure alignment and integration of data and technology strategies.
• Leads complex, cross-functional projects involving multiple stakeholders, ensuring timely delivery, budget adherence, and measurable impact.

Knowledge, Skills and Abilities Required:

• 4 years of experience in predictive analytics, advanced statistical modeling, and related methodologies
• 4 years of experience in SQL, R, Python, or other statistical software for developing client-facing analytical solutions
• 3 years of hands-on experience applying AI and Machine Learning techniques to solve business problems
• 3 years of experience with Big Data concepts, tools, and architecture (e.g., data warehouses, data lakes)
• 3 years of experience using data visualization tools (e.g., Power BI, Tableau, and building customer-facing UIs) to communicate key insights to non-technical stakeholders
• 3 years of experience with the e-commerce ecosystem, including key marketplaces and platform dynamics

Education and Experience:

• Bachelor's degree in Data Science, Information Technology, Statistics, Mathematics, or a closely related STEM discipline
• 4 years of relevant professional experience required

The expected pay scale for this position is $108,430-$158,430/year.

At PeC, we are dedicated to fostering a workplace where employees can succeed both personally and professionally. We offer competitive compensation along with a robust benefits package designed to support your health, well-being, and long-term goals. Our benefits include medical, dental, vision, FSA, life and disability coverage, paid maternity & parental leave, discretionary bonus opportunity, family building resources, identity theft protection, a 401(k) plan with discretionary employer contribution potential, and paid sick, personal, and vacation time. Some benefits are provided automatically, while others may be available for voluntary enrollment. You'll also have access to opportunities for professional growth, work-life balance, and programs that recognize and celebrate your contributions.

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