# Forward Deployed Marketing Data Scientist

**Company:** [Hightouch](https://hotfix.jobs/companies/hightouch)
**Location:** Remote
**Role:** Data Science
**Salary:** $140k – $220k/yr
**Skills:** Python, Polars, pandas, Jupyter, SQL, Machine Learning, A/B Testing, Exploratory Data Analysis, Feature Engineering, Cohort Analysis
**Posted:** 2026-02-06

> Partners with customers and engineering to optimize AI-driven marketing campaigns through diagnostics, ML tuning, data analysis, and clear communication of insights to non-technical stakeholders. Focuses on incrementality, experimentation, and performance improvement using Python, SQL, and notebooks.

## Job Description

## Responsibilities

- Own diagnostics, insights, and tuning for AI Decisioning campaigns
  - Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis.
  - Debug performance issues, iterate on reward functions, and ensure the agent’s recommendations align with customer goals.
  - Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations.

- Work deeply with data in notebooks and customer warehouses
  - Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks
  - Modify and improve customer feature matrices to unlock deep personalization.
  - Conduct deeper warehouse-level SQL analyses when insights aren’t available in the UI.

- Build lightweight tooling that enables scale
  - Create templates, notebooks, scripts, and repeatable workflows that improve how we analyze performance across customers.
  - Identify systemic gaps and influence the direction of ML reporting and introspection.

- Communicate ML concepts clearly to non-technical stakeholders
  - Present model insights and recommendations to marketers, analysts, and executives.
  - Explain how the decision engine handles cold start, message transfer learning, exploration vs. exploitation, and more.
  - Partner closely with Solutions Consultants to identify and drive new opportunities for uplift.

## Requirements

- Strong ability to perform deep exploratory data analysis in Python (Polars / Pandas, Jupyter notebooks).
- Ability to write and interpret SQL for customer warehouse analysis.
- High-level understanding of ML modeling concepts (features, hyperparameters, reward functions, training windows).
- Excellent communication skills; able to explain technical reasoning simply and confidently to marketers.
- A customer-first attitude with high ownership and urgency when resolving issues.

## Nice-to-Haves

- Experience setting up and analyzing marketing experiments such as A/B, multivariate tests.
- Prior experience in an applied ML, data science, analytics engineering, or forward-deployed role.
- Experience building lightweight internal tools or scripting solutions.

## Compensation

Salary range: $140,000 - $220,000 USD per year (location independent, remote-first).

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