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Data Scientist, Media

Job in Farmington, Hartford County, Connecticut, 06030, USA
Listing for: Digital United
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 100000 USD Yearly USD 90000.00 100000.00 YEAR
Job Description & How to Apply Below

Accepting applicants in CT, FL, Mn, NJ, NC, OH, TX

Role Summary

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.

Measures
  • AI-Enhanced Reporting & Insight Automation
  • Business & Media Impact
  • Reporting Standardization and Quality
  • Dashboard & Data Product Ownership

Reports to: President

Responsibilities
  • Media & Channel Analytics
    • Analyze paid media across Google Ads, Meta, Linked In, Programmatic, You Tube; 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.
  • Predictive Modeling & Experimentation
    • 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.
  • Dashboard Ownership (Existing Platform)
    • 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).
  • Reporting & Client Enablement
    • 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.
  • AI & Product Ideation
    • Explore LLM/ML use cases (persona signals, creative scoring, conversion prediction).
    • Prototype lightweight tools for planners/buyers (e.g., channel recommender, influence maps).
Qualifications
  • 5–7 years in data science/marketing analytics/digital media performance.
  • Proficient in Python or R; strong SQL; experience with GA4/Big Query 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!
  • Key Competencies
    • Data Visualization & Storytelling – Skilled in transforming complex datasets into clear, compelling insights using tools like Tableau, Power BI, or Python libraries.
    • AI & Machine Learning Expertise – Proficient in applying supervised and unsupervised learning techniques to optimize media performance and audience targeting.
    • Media Analytics & Attribution – Deep understanding of digital media metrics, multi‑touch attribution models, and cross‑channel performance analysis.
    • Dashboard Development & Management – Experience managing analytics dashboards, defining feature roadmaps, and collaborating with developers for scalable solutions.
    • SEO/CRO Data Integration – Ability to synthesize SEO and conversion rate optimization data to inform predictive models and campaign strategies.
    • Stakeholder Communication – Strong ability to…
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