Causal Marketing Scientist — Bayesian MMM Expert

The Harris Poll

Northern (KY)

Hybrid

USD 112,000 - 160,000

Full time

9 days ago
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Benefits offered by this job

Medical, dental and vision coverage
PTO plan
401k program
Tuition reimbursement
Paid parental leave
Pre-tax commuter benefits

Job summary

BERA.ai is seeking a Data Scientist focused on causal inference and marketing measurement to join its Data Science team. The role blends statistical modeling with brand strategy to understand what drives marketing performance, leveraging Bayesian methods and probabilistic programming.

Two experience levels are welcomed: early career with a thesis in causal inference or econometrics, or 2–5 years applying causal methods in marketing analytics.

Qualifications

  • Applied experience in causal inference and/or marketing measurement (MMM, attribution, incrementality).
  • Strong foundation in causal inference, probability, and experimental design.

Responsibilities

  • Design, build, and validate models measuring causal impact of marketing on outcomes.
  • Develop Bayesian models to quantify uncertainty and produce credible estimates.
  • Test model assumptions, perform sensitivity analyses, iterate with new data.
  • Translate modeling results into actionable business insights for marketing leaders.
  • Collaborate with Product and Engineering to operationalize modeling outputs.

Skills

Causal inference
Marketing measurement
Bayesian modeling
Python for modeling
Data visualization

Education

Bachelor's/Master's/PhD in Statistics, Data Science, Econometrics, or related quantitative field

Tools

PyMC
Stan

Job description

BERA.ai is seeking a Data Scientist focused on causal inference and marketing measurement to join its Data Science team. The role blends statistical modeling with brand strategy to understand what drives marketing performance, leveraging Bayesian methods and probabilistic programming.

Two experience levels are welcomed: early career with a thesis in causal inference or econometrics, or 2–5 years applying causal methods in marketing analytics.

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