Data Scientist

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $120k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Audiohook

WebsiteLinkedInAll Job Openings

11 - 50 employees

📣 Marketing

📱 Media

☁️ SaaS

Marketing • Media • SaaS

Audiohook is a performance-focused advertising platform specializing in audio and podcast advertising. The company provides programmatic access to premium podcast, streaming, and radio inventory with precise targeting, verified listens, and closed-loop attribution so advertisers can pay for results (CPA/ROAS). Audiohook emphasizes brand safety, privacy-safe measurement, AI-enabled content analysis, and a dashboarded SaaS experience for marketers to plan, launch, and measure audio campaigns.

📋 Description

• Own the measurement science behind Audiohook's performance audio advertising platform • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) to quantify lift for advertisers • Build, maintain, and evolve marketing mix models and multi-touch attribution analyses across customer campaigns • Apply causal inference methods, including difference-in-differences, synthetic controls, instrumental variables, and propensity scoring • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team • Partner with Engineering on the data and modeling layer powering bidding, pacing, and optimization decisions • Develop and validate predictive models to improve campaign performance and platform efficiency • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals • Partner with Product on roadmap inputs grounded in causal evidence • Present findings to advertisers, internal teams, and leadership in decision-ready formats • Communicate clearly and proactively in a remote-first environment

🎯 Requirements

• Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field • 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL • Solid grounding in statistical inference, regression, and causal methods • Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership • Excellent attention to detail and intellectual honesty about model limitations • No immigration sponsorship available; candidates must not require sponsorship to work in the United States

🏖️ Benefits

• Competitive salary and equity opportunities • Performance bonuses • Health, dental, and vision benefits • Daily lunch stipend • Monthly wifi, cell phone and subscription reimbursement • Annual hardware stipend • Flexible PTO • Remote-friendly culture • Bi-annual Corporate Offsites • Opportunity to help shape a function at a rapidly scaling tech company