Associate Director, Data Science

Job Description

By implementing conceptual data frameworks and developing marketing science solutions, The Associate Director, Data Science is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.

Client & Business Impact

• Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
• Translate analytical work into clear business value and actionable recommendations
• Identify opportunities to expand data science impact and contribute to organic account growth

Project & Cross-Capability Leadership

• Lead multiple concurrent data science projects across clients and capabilities with varying complexity
• Define project approach, manage risks, and align stakeholders on priorities and outcomes
• Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
• Represent data science across cross-functional initiatives and client engagements

Thought Leadership & Innovation

• Provide a clear point of view on statistical methods, machine learning, and measurement approaches
• Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
• Apply innovative thinking to solve complex marketing and business problems

Team Leadership & Culture

• Mentor and develop junior team members through coaching and feedback
• Foster a collaborative, inclusive, and high-performing team environment
• Contribute to capability development, training, and best practices

• 7–9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment
• Strong foundation in statistical modeling, machine learning, causal inference, and experimental design
• Proficiency in SQL, Python and/or R; experience with distributed systems or large-scale data processing preferred
• Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement
• Hands‑on experience with cloud platforms (preferably GCP: Big Query, Looker, Data Proc) and deploying data science solutions
• Strong understanding of modern AI/ML approaches and their practical applications
• Proven ability to connect data science solutions to business outcomes and client value
• Demonstrated experience leading multiple projects and influencing cross-functional teams
• Experience managing and developing data science talent
• Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences
• Comfortable navigating ambiguity in fast‑paced, evolving environments

Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

Compensation Range: $112,290 - $153,600.

All your information will be kept confidential according to EEO guidelines.