
Data Scientist, Customer Analytics
Cresta
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
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