November 21
🦌 Connecticut – Remote
🐊 Florida – Remote
+5 more states
💵 $90k - $100k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
• Analyze paid media across Google Ads, Meta, LinkedIn, Programmatic, YouTube; translate results into clear recommendations. • Build/maintain attribution approaches (last-click, MTA, assisted) and funnel diagnostics. • Integrate CRM/GA4/platform data to surface actionable trends by geo, audience, and creative. • Develop forecasting and propensity models to guide budget allocation and channel mix. • Run simulations (CPM/CPC/conv-rate scenarios) and design A/B and lift tests. • Partner with SEO/CRO to connect acquisition with on-site conversion improvements. • Manage the dashboard development team (backlog, priorities, sprints) and collaborate on new features that improve usability and insight depth. • Gather stakeholder requirements (Accounts, Media, Leadership) and maintain a transparent roadmap. • Ensure data reliability (ETL QA, schema governance, tagging/UTM standards). • Support Account teams with data-backed, insight-driven reporting (monthly/quarterly reviews, executive summaries, narrative analyses). • Build repeatable report templates; automate where possible while preserving clear storytelling. • Explore LLM/ML use cases (persona signals, creative scoring, conversion prediction). • Prototype lightweight tools for planners/buyers (e.g., channel recommender, influence maps).
• 5–7 years in data science/marketing analytics/digital media performance. • Proficient in Python or R; strong SQL; experience with GA4/BigQuery and media platform exports. • Comfort with BI tools (Looker Studio, Tableau, Power BI) and dashboard product management/ Data visualization. • Familiarity with generative AI tools (e.g., OpenAI, Hugging Face, or Google Vertex AI) for automating insights, reporting, or content analysis. • Comfortable in a fast-paced environment with competing priorities. • Experience applying machine learning models to media mix modeling, customer segmentation, or predictive performance forecasting. • Strong understanding of marketing attribution models and how to evaluate cross-channel performance using statistical techniques. • Excellent communicator who can turn data into decisions for non-technical stakeholders. • Experience with paid media a plus!
• Unlimited PTO • Medical, Dental, Vision • 401k plus match • Annual performance bonus eligibility • Ongoing training opportunities • Planned outings and team events (remote workers included!)
Apply NowNovember 21
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