Marketing Science Lead — Growth Analytics & MMM

Mile Marker LLC

New York (NY)

Hybrid

USD 150,000 - 230,000

Full time

3 days ago
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Job summary

Mile Marker LLC seeks an applied quantitative practitioner to elevate its marketing science capabilities. You will lead development and execution of sophisticated statistical models, design custom experimentation agendas, and translate outputs into growth strategies.

Role focuses on rigorous methodology, validated incrementality models, and informing client capital allocation. Hybrid offices in New York City and San Francisco support collaboration with growth marketers.

Qualifications

  • 5+ years of professional experience in Marketing Science, Quantitative Marketing, Data Science, or Econometrics in a high-growth agency/advertising tech setting.
  • Expertise in MMM, Bayesian statistics, time-series analysis, and causal inference.
  • Proficiency in Python or R for data manipulation and modeling; strong SQL skills for cloud data warehouses.

Responsibilities

  • Architect, validate, and scale Bayesian/frequentist Marketing Mix Models (MMM) to establish omni-channel media effectiveness and marginal ROAS curves.
  • Design, execute, and evaluate incrementality frameworks, including Matched-Market/Geo-Experiments, Synthetic Control Methods, and randomized controlled trials (RCTs).
  • Drive methodology merging MMM outputs, attribution, and experimental results into unified target response curves.
  • Build stochastic forecasting and lifetime value (LTV) models to optimize budget allocation across channels.

Skills

MMM
Bayesian statistics
Time-series analysis
Causal inference
Python
R
SQL
Git
Data visualization

Tools

Python (Pandas, NumPy)
PyMC
Statsmodels
R (Tidyverse)
Prophet
CausalImpact
SQL (BigQuery, Snowflake, Redshift)
GitHub
Streamlit/Dash/Tableau/Looker

Job description

Mile Marker LLC seeks an applied quantitative practitioner to elevate its marketing science capabilities. You will lead development and execution of sophisticated statistical models, design custom experimentation agendas, and translate outputs into growth strategies.

Role focuses on rigorous methodology, validated incrementality models, and informing client capital allocation. Hybrid offices in New York City and San Francisco support collaboration with growth marketers.

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