Manager, Data Science

About Us

We operate as a strategic external partner, connecting organizations with senior data science leadership to unlock analytics-driven growth. Our focus is on retailers and consumer brands, translating data insights into tangible business outcomes while upholding integrity and long-term impact. This engagement is led by an external recruiter dedicated to presenting opportunities with clarity and professionalism.

We operate as a strategic external partner, connecting organizations with senior data science leadership to unlock analytics-driven growth. Our focus is on retailers and consumer brands, translating data insights into tangible business outcomes while upholding integrity and long-term impact. This engagement is led by an external recruiter dedicated to presenting opportunities with clarity and professionalism.

We are seeking a seasoned Manager, Data Science to helm a Customer Data Science cadre for our client in the retail arena. The role blends strategic influence with practical execution across predictive modeling, customer analytics, and key commercial initiatives. The selected candidate will architect data-enabled strategies, accelerate customer growth, and coordinate with cross-functional teams to maximize business value.

• Direct and expand a data science team focused on customer analytics and predictive modeling.
• Collaborate with business leaders to convert analytics into actionable plans that boost revenue and engagement.
• Own CLV, segmentation, and predictive models end-to-end—from data prep to deployment.
• Guide and mentor the team, fostering experimentation and scalable, production-ready solutions.
• Partner with IT, data engineering, and marketing to ensure governance and adoption of models across the organization.
• Communicate findings to senior stakeholders with compelling storytelling and business impact framing.
• Monitor advances in AI/LLM and assess relevance to customer analytics programs.

• 5+ years leading data science teams with hands-on analytics experience.
• Proven track record in retail or consumer analytics, focused on customer insights.
• Strong SQL and Python skills; experience with BI tools like Power BI or equivalents.
• Expertise in CLV, segmentation, and predictive customer modeling.
• Outstanding stakeholder management and communication, capable of influencing at executive levels.
• Familiarity with AI/LLM initiatives is advantageous.
• Hybrid role in Irving, TX with 3-4 days on-site.

• Competitive base salary with a comprehensive benefits package.
• Hybrid work setup with regular on-site collaboration in Irving, TX.
• Growth opportunities through targeted training, conferences, and leadership programs.
• Inclusive culture that prioritizes performance, curiosity, and collaboration.
• Health, dental, and vision coverage; 401(k) with company match; paid time off; and employee discounts.

Our client operates in the arts and crafts retail sector, delivering materials, project ideas, and education to inspire creativity. This organization champions a customer-centric, data-driven approach to growth.

Jessica Dobie

Vice President, Data & Technology

ETail Specialist

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• Senior Client Partner ()
• Product Manager ()
• Data Engineer ()
• Data Scientist ()
• Director of Data Science - Sourcing & Supply Chain ()

Hybrid, Dallas, United States

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Remote