About this role
G2 is hiring a Principal Data Scientist to join its remote team in the US, acting as a senior individual contributor to shape experimentation standards and inform product decisions. This remote-based role suits an experienced quantitative professional who enjoys hands-on technical work, mentoring team members, and partnering with product and engineering organizations.
Role Overview
G2 operates a software marketplace and has joined forces with Capterra, SoftwareAdvice, and GetApp to build an online data source for software insights. Sitting within the Product organization, the Principal Data Scientist connects software vendors with buyers through ads, reviews, and agentic evaluation. The position focuses on building models, designing auctions, and shipping production systems while evangelizing data science best practices across the company.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
G2 operates the world's largest software marketplace, helping businesses make buying decisions with insights from real software users. Alongside Capterra, SoftwareAdvice, and GetApp, G2 provides software insights to fuel intelligent buying. The company is guided by PEAK values representing Performance, Entrepreneurship, Authenticity, and Kindness, and maintains people-led Employee Resource Groups alongside DEI and philanthropic programs.
How to Apply
Apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The salary range for the Principal Data Scientist position is $190K – $235K.
Is this a remote position?
Yes, this role is listed as Remote (US).
What level of experience is required?
Candidates need 8+ years of relevant experience in data science, applied statistics, or a related field with a focus on experimentation, or a PhD in a quantitative discipline plus 6+ years.
What technical skills and tools are required?
Required technical skills include fluency in Python and SQL, and comfort in modern data ecosystems such as Snowflake, Spark, Airflow, and dbt.
Where does the Data Science team sit within the organization?
The Data Science team sits within G2's Product organization, supporting Product Leadership.
