ZestyAI

Data Analyst

• Translate product management, engineering, and business questions into structured analytical approaches, applying appropriate statistical, experimental, and data science methods to measure product performance and guide decision-making
• Own data quality of ZestyAI data products
• Spearhead product monitoring and quality assurance by designing and owning dashboards and KPIs
• Develop automated ETL and data workflows
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with

Data Scientist, Analytics

Business Operations

• Serve as the central coordinator for complex enterprise opportunities from pricing through contract execution and customer handoff
• Partner closely with Sales, Legal, Finance, and Customer Success to improve operational efficiency and execution quality across the customer lifecycle
• Structure and review commercial terms for pricing integrity, scalability, and operational feasibility
• Own and evolve key business workflows including approvals, contracting, pricing governance, exception management, and operational readiness
• Identify bottlenecks, process gaps, and scaling risks across go-to-market operations and drive practical solutions
• Support operational initiatives tied to customer onboarding, renewals, partner workflows, and cross-functional execution
• Design and implement AI-first workflows and systems that reduce manual effort and compress cycle times
• Build and deploy agentic solutions (AI agents, copilots, orchestration layers) to support operational decision-making and workflow execution
• Use AI to augment business processes including pricing analysis, workflow routing, contract generation, knowledge retrieval, and operational monitoring
• Continuously evolve processes toward adaptive, self-improving systems rather than static workflows
• Partner cross-functionally to integrate automation into core business operations
• Act as a force multiplier by increasing organizational leverage without linear process overhead
• Support high-impact operational and strategic initiatives across the business as company needs evolve
• Help drive cross-functional initiatives related to: Pricing and monetization strategy, Customer contracting and commercial operations, Operational readiness for new products or workflows, Partner and vendor operational processes, Customer onboarding and lifecycle optimization, Internal knowledge management and workflow standardization, KPI definition and operational reporting, AI enablement across business functions
• Help leadership identify opportunities to simplify operations, improve scalability, and increase organizational effectiveness
• Contribute to special projects that sit at the intersection of strategy, operations, and execution.

Business Operations & Strategy Lead

Data Scientist

• Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
• Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
• Lead the development of high-quality datasets for robust model training and evaluation.
• Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
• Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.

Data Scientist, Analytics

Business Operations & Strategy Lead

Senior Data Scientist – Computer Vision