[Hiring] Principal Data Scientist @G2

Role Description

The Data Science team sits within G2's Product org, supporting Product Leadership. As the principal data scientist, you'll help shape how experimentation is done, and how to use data science to inform product decisions.

Your ultimate goal is to play matchmaker: connecting software vendors with the right buyers through G2’s product offerings, including ads, reviews, and agentic evaluation. As G2 expands into the agentic world, you'll partner with stakeholders to modernize existing products and develop new ones for a rapidly evolving, AEO-driven (answer engine optimization), privacy-constrained landscape.

This is a senior individual contributor role: you'll spend your time as a hands-on individual contributor, building models, designing auctions, and shipping production systems. Being a senior technical leader, you are also responsible for mentoring your team and evangelizing the data science best practices across the company. We're looking for someone who wants to stay deep in technical work, with the ability to up-level others in the organization.

In This Role, You Will:

• Own the experimentation standard for G2 and G2 Digital Markets.
• Consolidate the practices currently spread across properties into a single, documented, defensible approach covering experiment design, randomization, metric definition, guardrails, sample size and duration, and how results get read and acted on.
• Influence engineering and product to adopt it.
• Define the requirements for holistic experimentation at G2.
• Design methods that fit our actual traffic and iteration constraints.
• Drive the exploration of modern experimentation methods.
• Evangelize data science and make its impact legible.

Qualifications

• 8+ years of relevant experience in data science, applied statistics, or a closely related field, with a substantial portion focused on experimentation; or a PhD in a quantitative discipline plus 6+ years.
• Deep expertise in experimental design and causal inference, including a working knowledge of the failure modes of online controlled experiments.
• Working command of both frequentist and Bayesian approaches, and the judgment to choose between them for a given decision rather than by default.
• Demonstrated experience designing experimentation methodology for a real product.
• A track record of setting technical standards that other teams actually adopted, and of influencing engineering partners without authority over them.
• Strong applied experience with time series and web/behavioral data at scale.
• Fluency in Python and SQL, and comfort in modern data ecosystems (e.g., Snowflake, Spark, Airflow, dbt).
• Exceptional written and verbal communication, including the ability to explain a methodological trade-off to a non-technical stakeholder and defend it to a skeptical technical one.

Requirements

• 10+ years of relevant experience, including ownership of experimentation practice or platform at a company running experiments across multiple products or properties.
• Hands-on experience taking modern inference methods into production.
• Experience with low-traffic or low-power experimentation problems, and with quasi-experimental methods where randomization is constrained.
• Experience with interference, network effects, or two-sided marketplace experimentation.
• Experience serving as a technical lead — setting direction for a group, mentoring senior data scientists, reviewing others' designs and analyses.
• Experience with evaluation of ML or LLM systems.
• Contributions to the experimentation community through publications, open-source work, or conference participation.
• PhD in a quantitative discipline or MS in STEM.

Company Description

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status.