Jobs · Engineering · Texas

Data Scientist

Planview · Austin, TX · 2 mo ago
HybridEngineeringFull-time

Planview helps organizations accelerate what matters most—from ideas to impact. As the global leader in work and resource management, we provide comprehensive solutions for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, enterprise architecture, innovation management, and collaborative work and project management. Our platform supports the business and digital transformations of over 4,500 customers worldwide, including 59 of the Fortune 100.

About the role

Join our team as a Data Scientist in Austin, TX. This position will 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.

Responsibilities

  • Formulate and solve optimization problems for portfolio prioritization, investment and resource allocation, and capacity planning to maximize strategic value under constraints.
  • Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios.
  • Build, test, and refine predictive models to predict delivery timelines, portfolio outcomes, and investment performance.
  • Design MCP (Model Context Protocol) interfaces that expose optimization, simulation, and predictive capabilities to Planview Anvi and other AI agents.

Requirements

  • 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 as pandas 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.

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, SageMaker, 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

  • Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
  • Generous PTO offerings (region dependent).
  • Region-specific competitive benefit plans including parental leave, retirement, medical plans, wellness support, and remote work support.
  • Paid time to volunteer through Planview’s Force for Good Week.
  • Employee Referral bonus program.
  • Weekly office lunches for hybrid team members and social events.
  • Flexible work hours/environment.

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