Data Scientist
Planview Incorporated Austin, Texas, United States
Software Development · 1,001-5,000 employees
About the role
The Data Scientist will integrate optimization, simulation, and predictive modeling capabilities into Planview's planning solutions. They will also design interfaces to expose these capabilities to Generative AI agents and contribute to data-driven product enhancements.
What they look for
Requirements
Candidates must hold a Master's degree in a quantitative field such as Industrial Engineering, Operations Research, or Data Science. The role requires 3-7 years of experience with Python, SQL, and advanced statistical or optimization methodologies.
Benefits
Full description
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.
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