Data Scientist
About G2 - The Company
G2 is the world's largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.
Now, we have joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence.
And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI.
Does that sound exciting to you? Come join us as we try to reach our next PEAK!
About G2 - Our People
At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.
You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.
About The Role
In this role, you will play a key part in developing complex data-driven solutions and deploying impactful data products. You will collaborate with a team focused on building advanced forecasting models, customer segmentations, recommendation engines, and specialized algorithms that drive business outcomes.
You will proactively identify new opportunities to apply data science to enhance performance across a dynamic, two-sided digital marketplace with an auction-based pricing model. This environment offers extensive scope to experiment, innovate, and create meaningful impact using data.
As you contribute to building and scaling data science capabilities at GDM, versatility, adaptability, and a high level of ownership will be essential for success. Additionally, as part of the Gartner family, you will leverage industry-leading research in analytics and data science to deliver more engaging, relevant content for software buyers and improve both the quality and volume of leads for software sellers.
In This Role, You Will:
Transform, standardize, and integrate data sets to develop data marts for data science use cases.
Create classification systems for content and buyer attributes to support predictive analytics.
Build models to help match buyers to content that supports their software buying journey.
Implement recommendation and content relevance engines to increase buyer engagement.
Identify opportunities to apply predictive models to improve the buyer experience.
Employ supervised and unsupervised machine learning techniques to support analytic objectives.
Develop data-processing and technical workflows for delivery of data-driven customer experiences.
Collaborate with Engineering and Product Management teams to execute the data science roadmap.
Minimum Qualifications:
We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway.
Degree in computer science, economics, statistics, mathematics or similarly quantitative field of study.
Required experience: BA/BS from a top-tier university and up to 2 years of professional experience in data science or advanced analytics, or Master’s degree or PhD with relevant graduate or postgraduate research.
Experience with querying languages (SQL), data transformation packages (R’s Data Table, Tidyverse, or Python’s Pandas, Polars) and visualization libraries (ggplot2, plotly, matplotlib, bokeh).
Knowledge of machine learning and statistical algorithms (Regression, Clustering, Bayesian) for anomaly detection, trend prediction, and modeling of content popularity and search results.
Curious and analytical nature. Compelled to dive deep to understand complicated problems.
Passionate for data and analytics. Driven to acquire the skills necessary to accomplish complex tasks.
Interpersonal skills with ability to build relationships and effectively collaborate with colleagues.
Good time management skills and ability to juggle several tasks.
Proactively seek guidance to achieve successful results.
Communication skills with ability to present complicated analysis.
Resourceful and resilient with the instincts to take a creative approach to problem solving.
Experience working with web-analytics clickstream and behavioral data (Google Analytics, Google Search Console).
Experience working with cloud-based data warehouses and data management systems (Redshift, Snowflake, BigQuery).
Experience with Unix/Linux environments, and version control systems (git, or svn).
Experience with natural language processing libraries (Quanteda, text2vec, NLTK, Spacy).
Experience working for consumer or business-facing digital brands.
Our Commitment to Inclusivity and Diversity
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. Learn more about our commitments here.
--
For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job.
How We Use AI Technology in Our Hiring Process
G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.
Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team.
For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice.