Data Science Manager

Job Title: Manager – Data Science ()

Location: Dallas, Texas (Hybrid – 3–4 days onsite)

Forsyth Barnes is partnering with a leading retail organization to appoint a Manager – Data Science within its growing Customer Data Science function.

This is a strategic leadership role responsible for managing an established team of Data Scientists whilst remaining hands‑on across predictive modelling, customer analytics and advanced analytics initiatives. Working closely with CRM, Marketing and Commercial stakeholders, you'll help shape customer strategy, influence business decisions and identify opportunities to drive customer acquisition, retention and lifetime value.

This opportunity is ideal for an experienced Data Science leader with a strong retail or consumer analytics background who enjoys combining technical delivery with commercial problem‑solving and stakeholder engagement.

• Lead and develop an established team of Data Scientists, providing technical leadership and strategic direction.
• Build predictive models including Customer Lifetime Value (CLV), customer segmentation and behavioural analytics.
• Partner with CRM, Marketing and Commercial teams to improve customer targeting and campaign effectiveness.
• Deliver strategic customer insights that influence business decisions and drive commercial growth.
• Perform exploratory data analysis to identify customer trends, behaviours and new opportunities.
• Translate complex analytical findings into clear recommendations for senior leadership.
• Develop scalable analytical frameworks using SQL and Python.
• Support experimentation, A/B testing and measurement across customer engagement initiatives.
• Contribute to AI and Machine Learning initiatives, including the adoption of Large Language Models (LLMs).
• Champion best practices across Data Science, analytics and stakeholder engagement.

• 5–8+ years' experience within Data Science or Advanced Analytics.
• 3+ years leading or mentoring Data Science teams.
• Strong Retail, Consumer Goods, eCommerce or Customer Analytics experience.
• Proven experience building predictive models including Customer Lifetime Value (CLV), customer segmentation and behavioural analytics.
• Strong understanding of CRM, customer lifecycle analytics and marketing measurement.
• Experience partnering with senior business stakeholders to influence commercial decisions.
• Excellent communication skills with the ability to translate technical insights into business value.

• Advanced SQL.
• Python.
• Predictive Analytics.
• Customer Lifetime Value (CLV).
• Exposure to AI and Large Language Models (LLMs) preferred.

• Develop Customer Lifetime Value (CLV) models to improve customer retention and long-term value.
• Build advanced customer segmentation frameworks to support CRM and marketing strategies.
• Analyse customer behaviour to improve acquisition, retention and loyalty initiatives.
• Support AI-driven initiatives that accelerate business insight generation and decision making.
• Deliver analytics across strategic growth categories to identify new commercial opportunities.

• Lead a high‑performing Customer Data Science team.
• Deliver predictive models that improve customer acquisition, retention and lifetime value.
• Influence strategic business decisions through commercially focused analytics and actionable insights.
• Build scalable customer analytics capabilities that support continued business growth.
• Strengthen collaboration across Data Science, CRM, Marketing and Commercial teams.
• Help shape the future adoption of AI and advanced analytics across the organization.