Data Scientist
Hightouch
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $140,000 - $220,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PandasPythonSQL
About the role
- 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.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPolarsPandasJupyter notebooksSQLML modelingdata analysisexploratory analysisreward functionsA/B testing
Soft skills
communication skillscustomer-first attitudeownershipurgencytechnical reasoninginfluencecollaborationpresentation skillsproblem-solvingadaptability