Cresta · 8 hours ago
Data Scientist, Customer Analytics
Cresta is on a mission to enhance customer conversations through AI and human intelligence. As a Data Scientist in Customer Analytics, you will measure customer impact, design experiments, analyze data, and build dashboards to support ROI discussions and customer success initiatives.
Artificial Intelligence (AI)Intelligent SystemsMachine LearningNatural Language ProcessingTelecommunications
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
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
Qualification
Required
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
Preferred
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
Experience with cloud data stacks (Snowflake, Redshift, etc.)
Basic NLP or classification experience related to agent behavior or customer intent
Benefits
Base salary + Bonus + Equity
Comprehensive benefits package for you and your family
Company
Cresta
Cresta uses artificial intelligence to assist sales and service agents in the quality of customer service.
H1B Sponsorship
Cresta has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (6)
2023 (2)
2022 (10)
2021 (4)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$276MKey Investors
Tiger Global ManagementSequoia CapitalGreylock
2024-11-19Series D· $125M
2022-03-17Series C· $80M
2021-03-31Series B· $50M
Recent News
Greylock
2025-12-02
Company data provided by crunchbase