AI Value Partner (Customer Analytics)

Join Cresta, a leading AI company, as a Data Scientist in the Customer Analytics team. In this role, you will analyze conversational and operational data, design experiments, and build dashboards to quantify Cresta's value. You will work closely with various teams, including Business Value, Customer Success Managers, Sales, Product, and Engineering. This position is ideal for someone early in their data science career who enjoys hands-on analytics and problem-solving.

• Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets, and translate ambiguous business questions into structured analytical problems.
• Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact, establish baselines, metrics, and measurement plans for pilots.
• Build and maintain dashboards for Customer Success, Business Value, and Sales, and develop Python and SQL tools to improve repeatability, accuracy, and scalability.
• This role is ideal for someone early in their data science career who enjoys hands-on analytics, problem-solving, and turning ambiguous business questions into clear, actionable insights
• 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
• Strong proficiency in SQL and experience working with large datasets
• Comfort working in a fast-paced, cross-functional environment
• Proficiency in Python (Pandas, NumPy, scikit-learn)
• 1–3 years of experience in a data-focused role or relevant academic experience
• 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
• Basic NLP or classification experience related to agent behavior or customer intent
• Experience with cloud data stacks (Snowflake, Redshift, etc.)