Forward Deployed Marketing Data Scientist

About the Role

The role entails working closely with ML engineers, product managers, Solutions Consultants, and top brands to improve campaign performance, debug experiments, and identify opportunities for additional lift. You will spend roughly 30% of your time in customer-facing activities and 70% on deep analytical and modeling work. If you're excited about the prospect of working with cutting-edge AI technology and driving business growth through data-driven insights, this role is an excellent fit.

Hightouch is a leader in AI marketing, with a strong focus on making a meaningful impact for its customers. The company values first-principles thinking, efficient problem-solving, and compassionate teamwork. As a Forward Deployed Marketing Data Scientist, you will be expected to embody these values and contribute to the company's mission to transform marketing workflows through AI.

What You Will Do

• 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 and surface actionable recommendations
• 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
• 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
• 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

What We Are Looking For

• Strong analytical and problem-solving skills, with experience in data analysis and modeling
• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders
• Experience working with data analytics tools, such as Excel, and programming languages like Python
• Strong understanding of machine learning concepts, including model evaluation and tuning
• Ability to work in a fast-paced environment and prioritize tasks effectively
• Experience working with cross-functional teams, including engineering, product, and sales
• Strong business acumen and understanding of marketing principles
• Ability to work in a remote setting and collaborate with team members across different time zones

Nice to Have

• Experience working with cloud data warehouses like Snowflake and Databricks
• Familiarity with AI and machine learning technologies, including natural language processing and computer vision
• Experience working with marketing automation platforms and CRM systems
• Strong understanding of statistics and data visualization principles

Benefits and Perks

• Competitive compensation and benefits package
• Opportunity to work with cutting-edge AI technology and drive business growth
• Collaborative and dynamic work environment with a team of experienced professionals
• Flexible working hours and remote work options
• Professional development opportunities and career growth potential
• Access to top-notch training and development programs
• Recognition and reward for outstanding performance and contributions

• Develop a strong understanding of machine learning concepts, including model evaluation and tuning, to stand out in this role.
• Showcase your ability to communicate complex technical concepts to non-technical stakeholders through clear and concise writing samples or presentations.
• Highlight your experience working with data analytics tools, such as Excel, and programming languages like Python, in your resume and cover letter.
• Be prepared to discuss your experience working with cross-functional teams, including engineering, product, and sales, and how you handle conflicting priorities and tight deadlines.
• Research the company's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.
• Consider creating a portfolio that showcases your data analysis and modeling skills, and be prepared to walk the interviewer through your thought process and methodologies.