Data Scientist, GTM Analytics

• Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred.
• Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders.
• Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
• Familiar with CRM platforms (i.e., Salesforce)
• Technical Proficiency: 
• 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
• 6+ years of experience working with Python or R for analytics or data science projects
• 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
• Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
• Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
• Hands-on experience with batch LLM pipeline is preferred
• Excellent communication skills to present findings to both technical and non-technical audiences.
• Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

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