Cresta

Data Scientist, Customer Analytics

Cresta

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets
  • Translate ambiguous business questions into structured analytical problems
  • Analyze how workflow, behavior, and product usage changes translate into business value
  • Partner with Business Value consultants on customer-facing insights
  • Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact
  • Establish baselines, metrics, and measurement plans for pilots
  • Ensure results are statistically rigorous and easy for non-technical stakeholders to understand
  • Build reusable templates and frameworks for consistent experimentation
  • Build and maintain dashboards for Customer Success, Business Value, and Sales
  • Develop Python and SQL tools to improve repeatability, accuracy, and scalability
  • Create standardized reporting packages for pilots, QBRs, and renewals
  • Develop custom statistical or ML models (e.g., segmentation, predictive scoring, lightweight NLP)
  • Maintain reusable modeling pipelines for value insights and roadmap analysis
  • Partner with Engineering when guidance or productionization support is needed
  • Translate analyses into clear business and financial narratives
  • Support CSMs with data and insights for strategic QBRs
  • Partner with Product and Engineering on metrics, data availability, and analytics enhancements

Requirements

  • 1–3 years of experience in a data-focused role or relevant academic experience
  • Strong proficiency in SQL and experience working with large datasets
  • Proficiency in Python (Pandas, NumPy, scikit-learn)
  • Solid understanding of statistics, hypothesis testing, and experimental design
  • Experience building dashboards in tools such as Hex, Looker, Tableau, or similar
  • Strong communication skills with non-technical stakeholders
  • Comfort working in a fast-paced, cross-functional environment
Benefits
  • Competitive, location-based pay
  • Comprehensive benefits package for you and your family
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisexploratory data analysisA/B testingstatistical modelingmachine learningPythonSQLstatisticshypothesis testingexperimental design
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingadaptabilitystakeholder engagementstrategic thinkingcross-functional teamworknarrative developmentcustomer focus