Analyst, Data Science

Pearl River, NY (On-site)

Salary Not AvailableIntern/New Grad3+ years expVolunteer

Posted 5 months ago

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Job Summary

Drive data-powered marketing measurement and automation across AMS products, enabling MMM, attribution, and AI-enabled insights.

  • Must-have: BA/BS in a quantitative field and 0–3 years in analytics.
  • Standout: Proficiency in Python/SQL with hands-on MMM or attribution experience.
  • Standout: Experience shipping analytics tooling or data pipelines.

Job Description

Responsibilities

  • Marketing Measurement & Experimentation - Support standard marketing analytics engagements including MMM, test readouts, and performance deep dives.
  • Marketing Measurement & Experimentation - Prepare and QA modeling datasets from multiple sources (ad platforms, adserver logs, web analytics, CRM/sales, research vendors).
  • Marketing Measurement & Experimentation - Contribute to model development using regression/time-series approaches; help interpret results and document assumptions and limitations.
  • Marketing Measurement & Experimentation - Translate findings into clear deliverables: slides, written summaries, and stakeholder-ready visuals.
  • Advanced Media Analytics (Involved Media, an AMS Subsidiary) - Help improve Involved’s core offering—linking media to outcomes (leads/sales)—by analyzing drivers such as touchpoints, time-to-convert, device, geo, creative, placement, channel mix, and competitive share-of-voice/spend.
  • Advanced Media Analytics (Involved Media, an AMS Subsidiary) - Apply the best feasible methodology given the data (e.g., MMM, test design, causal methods, attribution approaches), with guidance from senior team members.
  • Data Products & Automation (AMS Product initiatives) - Build and maintain reusable analytics components: data pipelines, QA checks, feature generation, reporting automation, and internal tools (notebooks/apps/APIs).
  • Data Products & Automation (AMS Product initiatives) - Write clean, well-documented code; use version control and lightweight testing to support reliability and reuse.
  • Data Products & Automation (AMS Product initiatives) - Collaborate with internal stakeholders (media strategy, client teams, product/engineering) to define requirements and ship improvements.
  • AI Enablement - Explore practical applications of AI/LLM tooling to reduce manual work, speed insights, and improve consistency—always with attention to data privacy and quality.

Requirements

  • BA/BS (or equivalent experience) in a quantitative field (e.g., analytics, statistics, economics, CS, engineering, applied math).
  • 0–3 years in analytics, data science, marketing analytics, or related work (internships/co-ops count).
  • Proficiency in Python and SQL for data wrangling, analysis, and basic modeling workflows.
  • Solid foundation in statistics (descriptive statistics, regression fundamentals, experiment concepts, model evaluation).
  • Ability to explain analysis clearly to non-technical audiences; strong writing and visual communication skills.
  • Comfortable working with imperfect data; resourceful and proactive in diagnosing issues and proposing solutions.

Preferred

  • Exposure to marketing measurement methods such as MMM, incrementality testing/matched markets, causal inference, or attribution.
  • Familiarity with time-series methods and/or modern ML approaches (e.g., tree-based models) and when to use them.
  • Experience with Google Cloud Platform (e.g., BigQuery) and/or Vertex AI.
  • Familiarity with web analytics (e.g., GA4), adserver/platform data, or identity/privacy constraints in measurement.
  • Experience shipping analytics tooling: dashboards, lightweight web apps, scheduled jobs, or internal libraries.

Benefits

  • AMS offers a very competitive benefits package inclusive of medical coverage, dental, vision, disability, 401k, paid time off, community engagement opportunities, great colleagues, and great learning opportunities.
Active International logo

Active International

Active International, the corporate trade leader for nearly four decades, enables companies to maximize the value they receive for assets, increase their return on ad spend, and generate funding for unbudgeted expenses. Independent, with an unrivaled vantage point of the media industry, we help large and small brands and agencies achieve a higher ROI; leveraging incremental value in the same quality properties and services they already purchase.

Founded in 1984
Pearl River, New York, USA
713 employees (189 in marketing)

Traffic Signals

Monthly Visitors
12K
Traffic Source Mix
Search
24.4%
Direct
62.7%
Referral
5.5%
Social
6.3%
Paid
1%

Headcount Trend

Current headcount: ~713

Marketing Team

Marketing Team Size
172 (24% of company)
Median Career Experience
16.5 years
Median Tenure
9.3 years

Funding

Total Funding
$35M
Last Raise
$35M
Debt Financing, 13 years ago

Funding History

  • Aug 2013
    Debt Financing • $35M

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