Data Scientist, Customer Analytics

Key Responsibilities

• 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
• 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
• Work directly with customers to guide them towards our ideal experiment setup
• Build and maintain dashboards tracking customer ROI
• 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

Required Qualifications

• 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
• Strong communication skills with non-technical stakeholders
• Comfort working in a fast-paced, cross-functional environment

Preferred Qualifications

• Experience with conversational data (call transcripts, chats) or text analytics
• Familiarity with causal inference, uplift modeling, or A/B testing frameworks
• Exposure to customer-facing analytics or support roles
• Exposure to cloud data stacks (Snowflake, Redshift, etc.)
• Basic NLP or classification experience related to agent behavior or customer intent