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Sr. Data Scientist

Job in Austin, Travis County, Texas, 78789, USA
Listing for: Planview
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Company 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 , and connect with us on Linked In, Instagram, and X. The Opportunity Join our team as a Data Scientist in Austin, TX. This position will help integrate data science, optimization, and simulation capabilities within Planview's planning solutions. You will contribute to data collection and analysis, build predictive models, and work with Generative AI technologies including Planview Anvi.

What You'll Do Optimization:
Formulate and solve optimization problems for portfolio prioritization, investment and resource allocation, and capacity planning to maximize strategic value under constraints.

Simulation:
Build simulation models (e.g., Monte Carlo, discrete-event) tostress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios.

Predictive Modeling:
Build, test, and refine models to predict delivery timelines, portfolio outcomes, and investment performance.

Agentic AI:
Design MCP (Model Context Protocol) interfaces that expose optimization, simulation, and predictive capabilities to Planview Anvi andother AI agents.

What You'll Bring

Required Qualifications:

Master's degree in Industrial Engineering, Operations Research, Statistics,Data Science, or a related field.
5+ 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-event simulation).Demonstrated experience in translating customer challenges into data-driven product enhancements.

Strong knowledge of machine learning algorithms and statistical methodologies.

Strong written and verbal communication skills.

Preferred Qualifications:

Familiarity with portfolio management and planning frameworks (e.g.,SAFe, Lean Portfolio Management, Agile, Waterfall).Hands-on experience with AWS services such as Athena, Sage Maker,Lambda, and Bedrock.

Experience with optimization solvers or simulation libraries.

Experience building with Large Language Models and agent frameworks,including exposure to the Model Context Protocol (MCP).Basic understanding of knowledge graphs and ontologies.

Benefits at Planview At Planview,…
Position Requirements
5+ Years work experience
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