Senior Data Scientist (SaaS)

TL;DR

Senior Data Scientist (SaaS): Developing intelligence solutions for GTM teams using ML and predictive modeling with an accent on translating data insights into measurable business outcomes. Focus on identifying growth opportunities, mitigating risks, and building actionable predictive models for revenue operations.

Location: Hybrid in Raleigh, NC (in-office 3 days per week)

Salary: $133,000 – $160,000

Company

A fast-growing B2B SaaS company focused on helping product managers understand and drive product success.

What you will do

• Own the full lifecycle of intelligence solutions from problem definition and analysis to model development and stakeholder enablement.
• Collaborate with AI engineers, analysts, and GTM stakeholders to ensure work is actionable and connected to business decisions.
• Translate complex model outputs and analytical findings into clear business narratives for diverse audiences.
• Utilize AI-assisted development tools such as Cursor and Claude Code to accelerate prototyping and delivery.
• Develop hypotheses and conduct experiments to answer high-value business questions.
• Partner with GTM teams to enable the adoption of built models and tools.

Requirements

• 2-4 years of experience in data science, analytics, or a related quantitative field.
• Bachelor's or Master's degree in a STEM field.
• Proficiency in Python and SQL to manipulate large datasets and draw insights.
• Solid grasp of statistical concepts, predictive modeling, and machine learning.
• Must be based in Raleigh, NC for a hybrid work arrangement (in-office 3 days per week).
• Direct experience working alongside GTM functions (e.g., Sales Ops, Marketing Analytics, RevOps).

Nice to have

• Experience with LLM-based tooling, prompt engineering, or agentic AI workflows.
• Familiarity with BI tools such as Omni, Looker, or Tableau.
• Background in B2B SaaS, specifically with product analytics or customer health data.
• Ability to quantify business impact via pipeline, retention, or efficiency metrics.

Culture & Benefits

• Comprehensive employer-heavy insurance coverage with $0 premium options.
• Strong 401(k) match and equity options.
• Flexible time off.
• A high-ownership culture driven by values like "Bias to Act" and "Maniacal Focus".