Remote Data Scientist, Marketing Measurement

Audiohook; Eden (UT); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Fully remote work environment

Competitive salary

Performance bonuses

Health benefits

Lunch stipend and wifi reimbursement

Flexible PTO

Annual offsites

Impact shaping role

Job summary

Audiohook is seeking a Data Scientist to own the measurement science behind our performance audio advertising platform. You’ll design incrementality tests, build MMMs, and apply causal analysis to quantify lift for advertisers.

You will collaborate with Engineering, Product, Sales, and Customer Success to ensure measurement is not only statistically sound but also operationally useful and decision-ready for optimization and bidding strategies. This is a remote-friendly role.

Qualifications

• 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.

Responsibilities

• Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook's lift for advertisers
• Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns
• Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can't be answered with RCTs
• Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team
• Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions
• Develop and validate predictive models that improve campaign performance and platform efficiency
• Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality
• Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats
• Communicate clearly and proactively in a remote-first environment

Skills

Python

SQL

Statistical inference

Causal methods

Experiment design

Communication

Education

Bachelor's or Master's degree in Statistics

Tools

pandas

statsmodels

scikit-learn

PyMC

PyMC-Marketing

LightweightMMM

Robyn

Snowflake

BigQuery

Iceberg

Job description

Audiohook is seeking a Data Scientist to own the measurement science behind our performance audio advertising platform. You’ll design incrementality tests, build MMMs, and apply causal analysis to quantify lift for advertisers.

You will collaborate with Engineering, Product, Sales, and Customer Success to ensure measurement is not only statistically sound but also operationally useful and decision-ready for optimization and bidding strategies. This is a remote-friendly role.