Staff Data Scientist

The Opportunity

Data science isn't a feature on this team. It's the foundation, and you'll be the person who builds it.

We're looking for a Staff Data Scientist to establish the data science function from the ground up in a new venture for PI. You'll be defining the discipline, setting the methods, the standards, and the infrastructure that everything downstream depends on. As the subject matter expert, you'll own the evidence behind every claim we make, every metric we ship, and every insight we surface, and you'll be accountable for making sure each one can withstand the scrutiny of the most skeptical HR buyer, product leader, or board reviewer.

Your mandate is full ownership of a scientific function inside a venture that operates with the independence of a startup and the credibility of a 70-year-old science brand. You'll make the foundational calls around what we measure and how we measure it. This opportunity is for someone who has built rigorous data science practices before, knows what excellent looks like, and wants to set the bar rather than inherit it.

What you’ll do

• Own the evidence layer of the venture, end to end. You'll be the single point of accountability for how this team turns product and customer signal into defensible knowledge about what drives client outcomes, and you'll build the function that makes that repeatable.
• Set the standard for rigor. Define the experimental methods, statistical bar, and analytical practices the team operates by, and be the final word on whether a result is real, generalizable, and safe to build on.
• Build the foundation from scratch. Stand up the instrumentation, data pipelines, dashboards, and analytics infrastructure the team runs on, making the architectural decisions that future data science decisions are built upon.
• Identify what actually drives outcomes. Correlate the product signals that move client results, separating what genuinely moves the needle from what merely looks good in a demo, and turn those findings into durable, differentiated product value.
• Run the experiments that decide direction. Design and run cohort and funnel experiments to validate or kill hypotheses fast, and build the feedback loops that compound the venture's advantage over time.
• Shape strategy, not just inform it. Partner with Product, GTM, and Behavioral Science as a peer decision-maker, bringing evidence to the table early enough to shape the roadmap, the market thesis, and the bets the team makes.
• Extend the function over time. Establish the practices, documentation, and standards that let data science scale as the venture grows.

What you bring

If you've built a data science function before and want to do it again with more autonomy, this is your role. If you've got most of what's below, we still want to hear from you.

• 7+ years of substantial, staff-level experience as a data scientist in product environments, enough to have developed strong, defensible opinions about how the work should be done and the judgment to know when to break your own rules.
• A track record of building product analytics from scratch and owning them end to end. You're comfortable in the code, and you've personally stood up instrumentation, pipelines, and dashboards in live product environments.
• Deep expertise running product experiments with the statistical rigor to know when a result is real, when it's noise, and when the design itself can't answer the question. You can defend your methodology and teach it to a room that isn't quantitative.
• The ability to operate as the sole subject matter expert, setting direction without a senior peer to check your work, and being the person others trust to get the science right.
• Fluency translating ambiguous business questions into tractable data problems, and translating the answers back into decisions Product, GTM, and leadership can act on immediately.
• Comfort working at the frontier, where the research agenda, the product roadmap, and the go-to-market strategy are all still being written, with the maturity to bring order to that ambiguity.
• A graduate degree (or equivalent applied experience) in Statistics, Data Science, Computer Science, Econometrics, Quantitative Psychology, or a closely related quantitative field.
• Passion for using AI in every aspect of your work. We're an AI-forward team that expects every member to take full advantage of modern tools to sharpen thinking, move faster, and extend the team's capacity.
• A builder's mindset and the seniority to match. This team moves fast, operates lean, and expects every person to cover surface area well beyond their title. You own outcomes, not tasks.

What it’s like here

You’ll be one of twelve people on a team operating like a venture-backed startup — with its own stack, its own cadence, and its own mandate to find and validate a new market. You’ll report directly to the venture lead and work alongside product, engineering, and go-to-market functions all operating at the same pace.

PI is headquartered in Westwood, MA, and is geo-flexible for candidates with the right fit. This is an exempt, salaried position ($170,000 - $220,000) with full access to PI’s benefits package, including unlimited PTO and 401(k).