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The Harris Poll

Public opinion polling and market research

Data Scientist - Bera

Full-TimeDeadline 10/10/26
$112k - $160k/yr
Entry, Junior, Mid
Bachelor's, Master's, PhD
United States
Remote

About the job

Requirements
  • Applied experience or strong academic research in causal inference and/or marketing measurement, such as marketing mix modeling, attribution modeling, incrementality testing, or econometrics applied to marketing, brand, or advertising data.
  • A Bachelor's, Master's, or PhD in Statistics, Data Science, Economics, Econometrics, Applied Mathematics, or a related quantitative discipline, with strong grounding in causal inference, probability theory, and experimental design.
  • Hands-on experience with Bayesian modeling, including specifying priors, working with posterior distributions, and evaluating model fit and uncertainty.
  • Ability to independently scope and execute causal modeling projects that answer real marketing questions and communicate model limitations and assumptions honestly.
  • Strong written and verbal communication skills, including the ability to translate technical modeling results, assumptions, uncertainty, and causal claims into clear, actionable insights for non-technical stakeholders.
  • Genuine interest in brands, marketing, and advertising, with intellectual curiosity about consumer decision-making.
  • Strong Python skills for statistical and causal modeling.
  • Proficiency with PyMC, Stan, or a comparable probabilistic programming framework.
  • General-purpose Python experience with pandas, NumPy, and scikit-learn.
  • Applied knowledge of marketing mix modeling, attribution, and causal inference techniques, including Bayesian structural time series, difference-in-differences, synthetic control, instrumental variables, and uplift modeling.
  • Ability to build clear, decision-ready visualizations and reports that communicate model outputs such as channel contribution, return-on-investment curves, and credible intervals.
Responsibilities
  • Design, build, and validate models that measure the causal impact of marketing and brand activities on business outcomes, including marketing mix models, incrementality testing, and other causal inference approaches.
  • Develop and refine Bayesian models in PyMC, Stan, or similar probabilistic programming frameworks to quantify uncertainty, incorporate prior domain knowledge, and produce decision-ready estimates of marketing effectiveness.
  • Test model assumptions, perform sensitivity analysis, and iterate on modeling approaches as new data and marketing channels emerge.
  • Translate statistical rigor into marketing strategy by communicating assumptions, causal findings, and business implications to technical and non-technical stakeholders, including marketing and brand leaders.
  • Partner with Product and Engineering teams to translate data science solutions into scalable, agentic product features and operationalize modeling outputs into automated, product-facing workflows.
Desired Qualifications
  • Exposure to marketing and advertising data structures such as media spend, impressions, and brand-tracking surveys.

About the company

Harris Insights & Analytics, operating as The Harris Poll, conducts public opinion polling and market research for a wide range of clients in the United States, including corporations, government agencies, non-profits, and media organizations. It designs and runs surveys, analyzes the results, and provides customized research, syndicated studies, and data analytics services; clients pay through contracts for bespoke research, subscriptions for syndicated reports, and consulting fees. Its approach relies on lengthy experience and clear methodologies to deliver accurate, actionable insights across many sectors, combining tailored studies with ongoing syndicated research. Its goal is to help clients make informed strategic decisions by providing reliable public opinion data and market insights.

Company Size

201-500

Company Stage

Series A

Total Funding

$14.7M

Headquarters

New York City, New York

Founded

1956

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Simplify's Take

What believers are saying

  • August 2026 Collibra findings validate Harris Poll's AI-governance research with executives.
  • Cannes Lions 2026 research on AI authenticity and physical experiences feeds brand spending.
  • Monthly Harvard CAPS / Harris polling keeps Harris Poll visible to media, voters, and decision-makers.

What critics are saying

  • Trump's Iowa poll lawsuit stayed alive in July 2026, threatening reputational damage and discovery.
  • Polling data commoditizes fast; HarrisX's July 2026 interactive franchise directly targets attention and distribution.
  • If enterprise clients standardize on internal AI, Harris Poll becomes a retrievable feed, not indispensable advisor.

What makes The Harris Poll unique

  • Since 1963, Harris Poll has tracked U.S. public opinion with longitudinal brand equity.
  • May 12, 2026 AI-Ready Research Packet turns PDFs and crosstabs into governed intelligence.
  • Stagwell integration gives clients PRophet and Harvard CAPS / Harris distribution advantages.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Parental Leave

Paid Vacation

Paid Holidays

Flexible Work Hours

Hybrid Work Options

Remote Work Options

Employee Assistance Program

Employee Discounts Platform

401(k) Retirement Plan

401(k) Company Match

Professional Development Budget

Training Programs

Conference Attendance Budget

Growth & Insights and Company News

Headcount

6 month growth

↑ 2%

1 year growth

↓ -3%

2 year growth

↓ -3%
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What The Harris Poll, LLC. learned at Cannes Lions 2026. Article. The hottest June on record, 13,000 people from more than 90 countries, one Croisette, and five days that told The Harris Poll, LLC. what brands should focus on next. July 13, 2026 Key takeaways. * Saying "AI" can cost you the sale. 78% of consumers say AI makes ads feel less authentic, and 63% are less likely to buy from brands that lean on it. Lead with substance, not the buzzword. * Sport is infrastructure, not sponsorship. Fandom now runs from the stadium to the second screen to the checkout. The brands treating it as one continuous relationship will own the next cycle. * In-person still earns the trust digital can't buy. 71% of consumers say physical experiences deepen their connection to a brand. Showing up face to face is still where business moves. * A clear point of view is the scarce asset. When anyone can generate a campaign in minutes, conviction is the differentiator. 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Redesigning how they work around it has lagged well behind. Most teams are using the tool more often without changing how the work gets done. That gap matches what The Harris Poll, LLC. see in its data. When anyone can generate a campaign in minutes, original thinking becomes the scarce asset. AI can amplify a clear point of view. It cannot manufacture one. Sport became the cultural center of gravity. With the World Cup underway, sport ran through everything. SPORT BEACH drew some of the heaviest foot traffic on the Croisette, with A-Rod, Russell Wilson, Shaquille O'Neal, Lindsey Vonn, and the NBA Championship trophy all on site. The appetite is real and measurable. Almost half of Americans (45%) say their interest in soccer is rising. 70% of soccer fans are excited about a World Cup on home soil. The conversation has outgrown sponsorship. Fans don't follow brands, they follow people. The fan journey now runs well past the final whistle, into streaming, second screens, commerce, and creator partnerships. Creators earned a seat at the strategy table. Creators dominated the attention at Cannes this year, not just the AI panels. Every major platform is now competing for them directly, offering support to help creators build businesses inside the channels they already own, rather than pulling them onto a network schedule. The shift that matters for brands is the role creators are being given, not just their volume. The winners are building the plan around the creator relationship from the start, treating them as partners rather than vendors. In-person became the new proof point. The Croisette made the case for tactility all week. Scent bars, diner builds, photo booths, and drone shows were everywhere. It wasn't nostalgia. This tracks with its Return of Touch research. 81% of Gen Z wish they could disconnect more easily. 71% of consumers say in-store experiences deepen their emotional connection to a brand. Physical presence still earns trust that digital alone struggles to buy. A clear point of view is the scarce asset. Pull these threads together and one theme sits underneath all of them. The brands that stood out at Cannes were the clearest about who they are, regardless of how loudly they talked about their technology. That showed up as a renewed focus on brand building over one-off stunts, on creator partnerships built for the long term, and on physical moments that said something a banner ad couldn't. Conviction, more than any single tactic, was what separated the work people remembered from the work that just filled a slot. About the research. This piece draws on two Harris Poll studies. "I Never Asked for This" was conducted in partnership with the 4As and Infillion, and explores how consumers respond to AI in advertising. Its Return of Touch research examines how in-person and physical experiences shape consumer trust and brand connection. For full methodology, contact its research team.