G2 · 10 months ago
Data Scientist
G2 operates a software marketplace for business organizations to research, buy, and manage their software and services. As a Data Scientist, you will develop machine learning models to solve complex business problems and occasionally handle ML engineering tasks, while mentoring junior team members and collaborating across teams.
MarketplaceEnterprise SoftwareBig DataSoftwareMarketingB2BBusiness IntelligenceConsumer ReviewsMarketing Automation
Responsibilities
Lead the development and refinement of machine learning models, including feature engineering, algorithm selection, and model optimization
Conduct experiments with advanced machine learning techniques to improve model performance and deliver impactful solutions
Build, maintain, and optimize data pipelines to support end-to-end machine learning workflows
Analyze large datasets to extract insights and provide actionable recommendations for business teams in conjunction with model development
Collaborate with ML engineers to operationalize models, ensuring scalability and reliability
Work closely with cross-functional teams, including product managers and engineers, to translate business requirements into machine learning solutions
Document and present methodologies, findings, and results to both technical and non-technical audiences
Act as an on-call resource to troubleshoot and resolve issues with deployed machine learning models
Collaborate with ML engineers to monitor model performance and ensure operational stability
Mentor junior team members, providing technical support, guidance on model development, and best practices implementation
Qualification
Required
4+ years experience as a data scientist involved in data extraction, analysis and modeling
4+ years of experience in Python and SQL
Strong understanding of statistics
Proficiency in machine learning algorithms and all stages of machine learning
Familiarity with neural networks and deep learning
Familiarity with AWS services and Snowflake (or similar SQL DB)
Familiar with containerization (e.g., Docker) and API frameworks (e.g., Flask)
Demonstrated ability to troubleshoot issues in production environments, including debugging data pipelines or model related errors
Preferred
Successful end-to-end delivery of data science products
Exposure to MLOps tools like MLFlow, KubeFlow, DVC, AWS Sagemaker, Seldon etc
Experience deploying models in a AWS cloud environment - with specific experience with AWS tools such as Sagemaker and Step Functions
Expertise with Natural Language Processing and Understanding
Experience with libraries and frameworks for training ML and DL models (PySpark, Tensorflow)
Experience with LLMs/Generative AI
Benefits
Flexible work
Ample parental leave
Unlimited PTO
Company
G2
G2 operates a software marketplace for business organizations to research, buy, and manage their software and services.
H1B Sponsorship
G2 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2022 (2)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$257.57MKey Investors
Permira,Salesforce VenturesIVPAccel
2021-06-22Series D· $157M
2018-10-11Series C· $55M
2017-05-23Series B· $30M
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