Data Scientist

Overview Planview has one mission: to close the gap between strategic intent and business outcome, providing the intelligence organizations need to act decisively. As the global leader in Strategic Portfolio Management, Planview helps organizations of all sizes achieve their business goals, faster and smarter. Our comprehensive platform bring initiatives, investments, and resources into a continuous, connected model of the business: the actionable understanding leaders need to move decisively, keep teams and AI in lockstep, and know how their initiatives are performing.—now powered by Planview Anvi, our next-generation enterprise AI that delivers expert guidance, intelligent recommendations, and actionable insights, turning complex data into decisive action from strategy through execution. Recognized as a Leader in the 2026 Gartner Magic Quadrant for Strategic Portfolio Management for the fifth consecutive year, we proudly serve more than 3,000 customers globally, including 45% of the Fortune 100—and more than 3 million users worldwide. Why Join Planview? At Planview, our people’s connections drive our innovation and success. Our global team of 1,500+ employees work remotely and across offices in Austin, Vancouver, Hod HaSharon, Bangalore, Sydney, and Stockholm. We've built a world-class, connected culture rooted in shared values that empowers our teams to thrive and succeed from anywhere. When you join Planview, you're not just joining a company, you're joining a movement to transform how the world works. Discover more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X. Responsibilities Optimization: Formulate and solve optimization problems for portfolioprioritization, investment and resource allocation, and capacity planningto maximize strategic value under constraints. Simulation: Build simulation models (e.g., Monte Carlo, discrete-event) tostress-test portfolio plans, quantify risk and uncertainty, and forecastoutcomes across scenarios. Predictive Modeling: Build, test, and refine models to predict deliverytimelines, portfolio outcomes, and investment performance. Agentic AI: Design MCP (Model Context Protocol) interfaces that exposeoptimization, simulation, and predictive capabilities to Planview Anvi andother AI agents. Qualifications Required Qualifications: Master's degree in Industrial Engineering, Operations Research, Statistics,Data Science, or a related field. 3-7 years experience in Python and SQL, along with familiarity with libraries such aspandas and scikit-learn. Experience with optimization and/or simulation methods (e.g.,linear/integer programming, heuristics, Monte Carlo, discrete-eventsimulation). Demonstrated experience in translating customer challenges into data-driven product enhancements. Strong knowledge of machine learning algorithms and statisticalmethodologies. Strong written and verbal communication skills. Preferred…