Senior Marketing Science Strategist

Full Time
  • September 10, 2026
  • Employment Info

    JOB   SUMMARY

    Requirements
    • 8+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership.
    • 5+ years’ experience using SQL or similar querying language
    • 5+ years’ experience in a consultative or advisory role
    • 3+ years’ experience in project or program management
    • Bachelor’s degree in quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field)
    Responsibilities
    • Client Leadership: Partner closely with Sales to translate data-driven insights and measurement into actionable strategies that improve business performance for our clients and agency partners
    • Insights & Influence: Synthesize complex data into clear, actionable recommendations for senior technical and non-technical stakeholders
    • Measurement Strategy & Execution: Design and lead advanced measurement initiatives (experimentation, incrementality, attribution, clean rooms) to optimize marketing performance
    • Advanced Analytics: Apply SQL, Python, and visualization to analyze LinkedIn and third-party data at scale
    • Innovation & Product Influence: Advise cross-functional partners to identify innovation opportunities including, but not limited to new product features, measurement capabilities, and go-to-market strategies.
    • Thought Leadership: Drive POV on the future of B2B measurement and represent the company externally
    • Project Delivery: Lead end-to-end delivery of complex, custom projects
    • Data Governance: Uphold best practices in data privacy, security, and coding standards
    Desired Qualifications
    • 10+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership.
    • 6+ years’ experience using SQL or similar querying language
    • 6+ years’ experience in a consultative or advisory role
    • 4+ years’ experience in project or program management
    • Experience in digital marketing and AdTech ecosystems, including agency landscape
    • Demonstrated expertise in measurement methodologies (e.g. incrementality, attribution, MMM, experimentation, CAPI)
    • Experience working with large-scale datasets and advanced analytics tools
    • Experience applying AI / LLM techniques in analytics workflows
    • Suggested Skills: Digital and Performance Marketing, Stakeholder Management, SQL/Python, Consulting

     

     

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