Data Science Strategist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with account, media, social, SEO, and client teams to grasp objectives and convert business inquiries into measurement plans and KPIs.

• Identify data issues, such as tracking discrepancies, disconnected sources, and conflicting figures.

• Create measurement frameworks for integrated campaigns spanning paid, owned, and earned channels.

• Communicate findings and recommendations to internal stakeholders and clients in clear, actionable terms.

• Develop, automate, and sustain client and internal dashboards and reporting solutions.

• Utilize NinjaCat and other BI and data-connector tools to consolidate cross-channel marketing data into scalable reports.

• Construct automated data pipelines, calculators, audit and QA scripts, reporting templates, and lightweight internal applications.

• Investigate and pilot AI-driven features within the BI and martech stack and contribute to the responsible use of AI.

• Create data models and QA processes to ensure accurate, consistent, and reliable reporting.

• Conduct and manage multi-touch attribution analyses.

• Develop and analyze media mix models using frameworks such as Meridian, Robyn, platform-native tools, or custom Python/R models.

• Suggest budget allocation and optimization strategies based on outputs from attribution and MMM.

• Implement incrementality and testing methods where suitable.

• Keep abreast of martech, privacy changes, AI, and measurement techniques, and share innovative ideas with the team.

⛳️ Requirements

• 4–7+ years of experience in marketing analytics, data science, or business intelligence, preferably in an agency or consultancy setting.

• Working knowledge of paid search, paid social, programmatic, SEO, email, and web analytics.

• Demonstrated experience in dashboard creation and BI tools, such as NinjaCat, Looker Studio, Power BI, or Tableau.

• Proficient in building data tools and automations, including scripts, pipelines, templates, or small applications.

• Comfortable employing AI tools for coding, analysis, automation, and documentation, with the discretion to verify and validate outputs.

• Practical expertise with Google Analytics 4 and Google Tag Manager.

• Experience in constructing or utilizing multi-touch attribution and media mix modeling with various toolsets or methodologies.

• A strategic mindset with the ability to connect data work to business results.

• Strong communication skills with the capability to explain technical concepts to non-technical audiences.

• Able to manage multiple client projects and deadlines simultaneously.

• Experience with NinjaCat is strongly preferred.

• Proficiency in SQL and familiarity with Python or R for analysis and modeling is highly preferred.

• Experience with cloud data warehouses such as BigQuery or Snowflake is highly preferred.

• Knowledge of privacy and consent frameworks, including consent mode, server-side tagging, and first-party data strategies, is highly preferred.

• Background in regulated industries such as healthcare is highly preferred.

🏝️ Benefits

• Competitive salary

• Health, dental, and vision insurance

• 401(k)

• Generous PTO policy

• Paid holidays

• Wellness stipend for physical and mental health programs

• Remote-first workplace

• Optional in-office days