Senior Data Scientist

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal Better Up Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal Better Up Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include:
Austin, TX;
New York City, NY;
San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.

We’re looking for a Senior Data Scientist to help shape how we use data to improve our products and business, which serve employees at many of the world’s largest organizations. You’ll connect data across the business, from how people use our products to the value our customers see, building metrics that teams across the company act on and our enterprise customers rely on to understand their return on investment.

This is a builder role: you’ll design data models, run experiments, build predictive models, help define how we evaluate AI systems in production, and build internal AI tools that help teams across the company understand and act on data. You’ll be part of an AI-forward team where experimenting with new tools is encouraged, and your work will directly influence strategy and how decisions get made across the company.

What you’ll do:

• Connect data across product, partner, and business systems, building the metrics and reporting that show how our work translates into value for our enterprise customers

• Design and maintain data models and governed metric definitions, so the same numbers show up consistently across internal analysis, customer-facing reporting, and AI-powered tools

• Partner with engineering to make sure the data we collect supports reliable measurement

• Design and analyze experiments, applying causal inference methods to measure the impact of product and business changes

• Build predictive models for problems like engagement, retention, and customer health, and put them into use across the business

• Build systems to evaluate AI models and tools, measuring quality, safety, and consistency over time and combining automated metrics with human review

• Run deep dives into why metrics move, and turn the findings into clear recommendations for teams across the company and leadership

• Build with AI as part of your daily work, including agents, LLM-assisted analysis, and internal tools that help the team move faster

• Take on projects across different areas of the business, such as product, sales, marketing, and finance, as new needs come up

• Mentor other analysts and data scientists, and help shape how the team works

• 5+ years in data science or analytics, ideally including B2B SaaS or enterprise products

• Strong SQL and Python, plus experience with modern data tooling such as dbt, a cloud data warehouse (e.g., Snowflake, Big Query, or Databricks), and a semantic or metrics layer

• Hands‑on experience with…