Data Scientist

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 planview.com, and connect with us on LinkedIn, 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.

#LI-HYBRID#LI-CG1

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) to
  stress-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 and
  other AI agents.

What You'll Bring

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 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.

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, 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 at Planview

At Planview, you’ll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:

• Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
• Generous PTO offerings (region dependent).
• Region specific competitive benefit plans to support you at any life stage 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.

Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you!

Equal Employment Opportunity at Planview

Planview is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. As part of our efforts to build a diverse workforce, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups. In addition to building a diverse workforce, we are committed to fostering an inclusive and accessible experience.

Reasonable accommodations for the interview process can be requested by emailing recruitment@planview.com.

AI Use in Recruitment

Planview may employ AI-based tools to support certain recruiting activities, however all decisions affecting a candidate's application are made by a human recruiter or hiring manager. Planview is committed to complying with applicable AI regulations, including the EU AI Act and other emerging legislation in the jurisdictions in which we operate, and reviews its AI practices as these requirements evolve. If you require further information or would like to exercise your rights under applicable privacy laws, please submit your request at the Planview Data Subject Access Request (DSAR) Portal.

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 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.

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, 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.
• 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) to
  stress-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 and
  other AI agents.