Note: The job is a remote job and is open to candidates in USA. Precision eControl provides integrated software solutions that help brands control the sales of their products in the eCommerce marketplace. The Data Scientist Manager leads client marketplace and brand data analysis, develops scalable data science frameworks, mentors analytics teams, and drives automation, innovation, and data-driven decision-making across client engagements and internal initiatives.
Responsibilities
- 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
Skills
- 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
- Bachelor's degree in Data Science, Information Technology, Statistics, Mathematics, or a closely related STEM discipline
- 4 years of relevant professional experience required
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Flexible Spending Account (FSA)
- Life and disability coverage
- Paid maternity and parental leave
- Discretionary bonus opportunity
- Family building resources
- Identity theft protection
- 401(k) plan with discretionary employer contribution potential
- Paid sick time
- Paid personal time
- Paid vacation time
- Opportunities for professional growth
- Work-life balance programs
- Programs that recognize and celebrate employee contributions
- Employee may work from any location in the U.S., subject to company remote work policy
Company Overview