Data Scientist

atAudiohookRemoteUS flagUnited StatesFull-timeData ScientistMid-levelSenior$120k – $170k/year

Posted 8 hours ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Take charge of the measurement science that drives Audiohook's performance audio advertising platform.

β€’ Design and execute incrementality experiments (geo, ghost bidding, holdout, PSA) to measure lift for advertisers.

β€’ Create, maintain, and enhance marketing mix models and multi-touch attribution analyses for customer campaigns.

β€’ Utilize causal inference techniques, including difference-in-differences, synthetic controls, instrumental variables, and propensity scoring.

β€’ Convert measurement findings into clear narratives for advertisers, internal stakeholders, and the product team.

β€’ Collaborate with Engineering on the data and modeling infrastructure that supports bidding, pacing, and optimization decisions.

β€’ Develop and validate predictive models to enhance campaign performance and platform efficiency.

β€’ Structure experiments and analyses for reproducibility, monitoring, and ongoing measurement quality.

β€’ Work alongside Sales and Customer Success on measurement studies for key accounts and renewals.

β€’ Collaborate with Product to inform roadmap decisions based on causal evidence.

β€’ Present insights to advertisers, internal teams, and leadership in formats ready for decision-making.

β€’ Communicate effectively and proactively in a remote-first setting.


⛳️ Requirements

β€’ Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, or a related quantitative discipline.

β€’ 3–5 years of hands-on data science experience with an emphasis on marketing measurement β€” incrementality, MMM, attribution, or causal analysis.

β€’ Practical experience in designing and analyzing experiments (A/B, geo, holdout) within a marketing or advertising environment.

β€’ Strong proficiency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL.

β€’ Solid understanding of statistical inference, regression, and causal methodologies.

β€’ Capability to convey technical results to non-technical audiences β€” including advertisers, sales, and leadership.

β€’ Exceptional attention to detail and intellectual integrity regarding model limitations.

β€’ No immigration sponsorship is available; candidates must not require sponsorship to work in the United States.


🏝️ Benefits

β€’ Competitive salary and equity opportunities.

β€’ Performance bonuses.

β€’ Health, dental, and vision benefits.

β€’ Daily lunch stipend.

β€’ Monthly reimbursement for wifi, cell phone, and subscriptions.

β€’ Annual hardware stipend.

β€’ Flexible PTO.

β€’ Remote-friendly culture.

β€’ Bi-annual Corporate Offsites.

β€’ Opportunity to contribute to shaping a function within a rapidly growing tech company.

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