Related skills
sql python pandas spacy nltk📋 Description
- Develop data-driven solutions and data products for G2's marketplace
- Build forecasting models, customer segments, and recommendation engines
- Transform and integrate data into data marts for analytics use cases
- Create classification systems for content and buyer attributes
- Implement content relevance to boost buyer engagement
- Collaborate with Engineering and Product teams to execute the data science roadmap
🎯 Requirements
- Degree in computer science, economics, statistics, mathematics or similar quantitative field.
- BA/BS from a top-tier university with up to 2 years data science experience or MS/PhD.
- SQL, data wrangling (Pandas/Polars) and visualization (ggplot2, plotly).
- ML/statistical algorithms knowledge: regression, clustering, Bayesian.
- NLP libraries (Quanteda/Text2vec, NLTK, Spacy) and web analytics (GA, GSC).
- Cloud data warehouses (Redshift/Snowflake/BigQuery) and Unix/Linux with Git.
🎁 Benefits
- Global, diverse team with value-driven culture
- DEI initiatives and G2 Gives philanthropic programs
- Opportunity to own impactful data science projects
- Collaboration with Engineering and Product teams
- Exposure to Gartner analytics research and insights
- Growth and learning opportunities in a fast-paced marketplace
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