• Leverage your technical and business acumen to become a specialist in our models, products, business and how the models interact with the business. • Identify potential problems or opportunities for improvement, communicate these issues to the team and suggest solutions. • Involves self-directed investigation into Upstart’s data and product, offline analyses using creative thinking as well as presentation to the ML team. • Receive mentorship from experienced DS/ML practitioners and collaborate closely with ML scientists to improve our products and models via data-driven insights. • Understand the underpinnings of ML models and how they create value for the business. • Identify data sources, use statistical methods and write clean code to conduct offline analyses about ML models and/or Upstart products. • Communicate findings clearly to get buy-in for recommended next steps. • Work with your mentor to align stakeholders, and drive next steps.

• Manage & oversee the work of Product Analytics team through stakeholder relationship management, defining projects’ scope of work, project prioritization & allocation, and ongoing people leadership & mentorship • Be a thought partner to department leadership by proactively proposing analytical solutions and data insights that drive improvement in product functionality, user experience, pricing and other product development and / or marketing decisions • Collaborate with department leadership and stakeholders to understand their business objectives, translate business objectives into proposed solutions (e.g. analysis, KPIs, BI, Data Science) • Perform (hands-on) analysis to drive insights, and inform business recommendations or marketing / PR content • Provide BI & Data Platform teams with requirements for product analytics data modelling, reports and dashboards • Collaborate with Data Science team on ML / AI developments supporting Product Analytics, GTM Marketing strategy and development of automated A/B testing capabilities • Advocate and propagate philosophy of impact-based opportunity assessment and quantify the impact assessment of all new ideas for product and experience’ improvement • Support experimentation initiatives by providing requirements for A/B design and executing success measurement and quantification

• Develop anomaly detection systems for sewer infrastructure • Build predictive models for maintenance scheduling • Design and iterate on ML models for sewer applications • Build data processing pipelines for analyzing infrastructure data • Create visualizations and reports in Hex

• Sales Forecasting & Pipeline Analytics — Build and maintain predictive models for revenue forecasting, pipeline health, and deal velocity • Customer Segmentation & Churn Prediction — Develop models to identify high-value customer segments and predict at-risk accounts • Pricing Optimization & Market Analysis — Analyze pricing effectiveness, competitive positioning, and market opportunities • Dashboards & Reporting — Create interactive dashboards and reports in Hex to democratize data access across the sales org • Data Pipeline Development — Build and maintain data pipelines to ensure clean, reliable data for analysis