Role Overview
The Lead Data Scientist will lead strategic projects ensuring that they are planned, resourced, managed effectively, and above all meet their success criteria.
This is an ONSITE position 4 days/week, Monday through Thursday, Fridays are remote.
Core Accountabilities and Responsibilities
Data Strategy & Infrastructure Development
- Develop a scalable data architecture to support business growth.
- Establish data governance, quality controls, and integration processes.
- Ensure data accuracy, consistency, and accessibility across systems.
- Identify and implement tools for data management, visualization, and automation.
Business & Financial Acumen
- Understand key retail metrics such as revenue, margins, conversion rates, and inventory turnover.
- Analyze customer behavior, segmentation, and purchasing trends to drive sales and retention.
- Provide data-driven insights to optimize pricing, promotions, and merchandising strategies.
- Translate business challenges into data questions and actionable recommendations.
Advanced Analytical & Problem-Solving Skills
- Apply statistical analysis, predictive modeling, and machine learning techniques where appropriate.
- Perform root cause analysis to uncover hidden opportunities or risks.
- Develop frameworks to track and improve sales performance and operational efficiency.
- Create A/B testing methodologies to optimize marketing and product decisions.
Operational Dashboards & Reporting
- Design and maintain dashboards that provide real-time insights into business performance.
- Automate reporting to ensure leadership has timely and accurate data.
- Develop KPI frameworks that align with company goals and strategic priorities.
- Monitor and flag anomalies or emerging trends that require action.
Stakeholder Communication & Data Storytelling
- Present complex data in a clear and actionable manner to executives and frontline teams.
- Work cross-functionally to align analytics with business objectives.
- Train and support teams in using data for decision-making.
- Advocate for a data-driven culture by embedding insights into everyday operations.
Required Knowledge, Skills, and Abilities
- Proven track record of building and scaling data analytics functions in a retail or e-commerce environment.
- Strong knowledge of SQL, Python, R, or similar tools for data analysis.
- Understanding of statistical methods, predictive modeling, and machine learning concepts.
- Excellent communication skills with the ability to translate data into strategic insights.
- Familiarity with customer segmentation, A/B testing, and growth analytics.
Required Education and Experience
- Bachelor's degree in data science, information systems, statistics, or a similar field (masters preferred)
- 5+ years of experience in data analytics, business intelligence, or a related field.
- Experience with data visualization tools such as Tableau, Looker, or Power BI.
- Experience working cross-functionally with marketing, operations, and finance teams.
- Prior experience implementing data governance and quality frameworks.
- Experience in the retail fashion industry is a plus.
Travel
- There is minimal anticipated travel required for this position.
- Annual and Semi-Annual Company Conferences, usually in the DFW area