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Data Scientist, Media

United States 90000.00 - 100000.00 USD / Year · Job Posted December 11, 2025
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Job Description

Mediate.ly is seeking a hands-on Data Scientist to elevate media performance analysis, predictive modeling, and channel optimization. In this role, you’ll leverage advanced machine learning techniques and generative AI tools to uncover actionable insights, automate reporting, and enhance campaign effectiveness across digital channels. You’ll manage and evolve our existing performance dashboard (with a small external team), own the feature roadmap, and collaborate closely with Primacy on SEO/CRO data integration. A key part of the role involves supporting Account teams with clear, insight-rich reporting powered by enhanced data storytelling and visualization. This was meant for you if you are passionate and skilled in transforming complex datasets into clear, compelling insights.

Job Responsibility

  • 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)

Requirements

  • 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

Nice to have

Experience with paid media a plus

What we offer

  • The best co-workers you’ll ever find
  • Unlimited PTO
  • Medical, Dental, Vision, 401k plus match
  • Annual performance bonus eligibility
  • Ongoing training opportunities
  • Planned outings and team events (remote workers included!)

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