Data Scientist Manager

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.

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

Pay

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

Benefits

• Medical, dental, vision, FSA, life and disability coverage

• Discretionary bonus opportunity

• Family building resources

• Identity theft protection

• A 401(k) plan with discretionary employer contribution potential

• Paid sick, personal, and vacation time

About the Role

Prepares and presents data-driven reports and recommendations to clients and internal stakeholders

Qualifications

Experience with data warehousing and data management tools

Skills

• SQL

• R

• Python

• Power BI

• Proprietary platforms

Benefits

Flexible work schedule, professional development opportunities, and a supportive work environment

Schedule

Full-time, remote work