data
Posted Feb 6Forward Deployed Marketing Data Scientist
at Hightouch
(north America), United StatesRemote
Responsibilities
- Own diagnostics, insights, and tuning for AI Decisioning campaigns
- Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations. Work deeply with data in notebooks and customer warehouses
- 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.
Requirements
- Hightouch is the modern AI platform for marketing and growth teams.
- Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
- Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks.
- Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
- We’re looking for a Forward Deployed Marketing Data Scientist to partner closely with our AI Decisioning customers and internal engineering teams to ensure that AI-driven marketing campaigns deliver measurable, compounding impact.
- This role is uniquely cross-functional: you’ll spend time diagnosing model behavior, tuning ML levers, analyzing incrementality, exploring customer data, and explaining insights to marketers and executives.
- Instead of planning campaigns weeks ahead on a calendar, AI Decisioning continuously learns customer preferences and executes 1:1 messaging that adapts in real time.
- Your mission is to make sure that these AI agents perform at their best—and to help customers understand why they are performing the way they are.
- You’ll work alongside ML engineers, product managers, Solutions Consultants, and some of the world’s most recognizable brands to improve campaign performance, debug experiments, and identify opportunities for additional lift.
- Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis.
- 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).
- 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.
- You’ll complete a short take-home assignment focused on exploratory data analysis of an example dataset.
- We’re looking for clarity of communication, rigor of thinking, and the ability to turn data into actionable insights.
Experience
- We focus on impact and potential for growth more than years of experience.
Benefits
- A customer-first attitude with high ownership and urgency when resolving issues. Bonus Points •
- The salary range for this position is $140,000 - $220,000 USD per year, which is location independent in accordance with our remote-first policy. Interview Process
Additional details
- Our team focuses on making a meaningful impact for our customers.
- We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness.
- We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals. About the Role
- Marketing teams come to Hightouch to transform how they operate.
- Roughly 30% of your time will be customer-facing and 70% deep analytical and modeling work.
- Debug performance issues, iterate on reward functions, and ensure the agent’s recommendations align with customer goals.
- Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks
- 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. What We’re Looking For
- Excellent communication skills; able to explain technical reasoning simply and confidently to marketers.