Data Science Strategist

About the Role

What You'll Do

• Partner with account, media, social, SEO and client teams to understand their goals and translate business questions into clear measurement plans and KPIs.
• Diagnose data problems (gaps in tracking, disconnected sources, conflicting numbers) and recommend creative solutions across our toolset.
• Design measurement frameworks for integrated campaigns spanning paid, owned and earned channels.
• Present findings and recommendations to internal stakeholders and clients in plain, actionable language.

• Build, automate and maintain client and internal dashboards and reporting solutions.
• Use NinjaCat (and other BI and data-connector tools) to unify cross-channel marketing data into scalable reporting.
• Build custom data tools beyond dashboards, such as automated data pipelines, calculators, audit and QA scripts, reporting templates and lightweight internal apps that make the team faster.
• Explore and pilot new AI-powered features in our BI and martech stack, and help shape how the team uses AI responsibly in its data work.
• Develop data models and QA processes that keep reporting accurate, consistent and trustworthy.

• Develop and run multi-touch attribution (MTA) analyses to understand channel contribution across the customer journey.
• Build and interpret media mix models (MMM), working across a range of toolsets (e.g., open-source frameworks such as Meridian or Robyn, platform-native tools, or custom models in Python/R).
• Recommend budget allocation and optimization strategies based on attribution and MMM outputs, including incrementality and testing approaches where appropriate.

• Stay current on martech, privacy changes, AI and measurement methods, and bring new ideas and tools to the team.

What You Bring

• 4–7+ years of experience in marketing analytics, data science, or business intelligence, ideally in an agency or consultancy environment.
• Strong digital marketing background: a working understanding of paid search, paid social, programmatic, SEO, email and web analytics.
• Proven dashboard building and BI experience (e.g., NinjaCat, Looker Studio, Power BI, Tableau).
• Experience building other data tools and automations, not just dashboards (e.g., scripts, pipelines, templates or small apps).
• Comfortable using AI tools as part of your building workflow (coding, analysis, automation and documentation), with the judgment to check and validate what they produce.
• Hands-on expertise with Google Analytics 4 and Google Tag Manager.
• Experience building or applying multi-touch attribution and media mix modeling, using more than one toolset or methodology.
• Strategic mindset: you listen first, ask good questions and connect data work to business outcomes.
• Excellent communication skills and the ability to explain technical concepts to non-technical audiences.
• Comfortable managing multiple client projects and deadlines at once.

• Experience with NinjaCat.
• SQL proficiency and experience with Python or R for analysis and modeling.
• Experience with cloud data warehouses (e.g., BigQuery, Snowflake)
• Familiarity with privacy and consent frameworks (consent mode, server-side tagging, first-party data strategies).
• Experience in regulated industries such as healthcare.

Compensation

Where You'll Work

• Competitive salary, health, dental, and vision insurance
• 401(k)
• Generous PTO policy, plus paid holidays
• Wellness stipend for physical and mental health programs