Sync customer data from your warehouse into the tools your business teams rely on.
Data Scientist
Location
United States
Posted
178 days ago
Salary
$140K - $220K / year
Seniority
Senior
Job Description
Data Scientist
Hightouch
• 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.
Job 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.
- Bonus Points:
- 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.
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