Data Scientist
Planview
Listing collected from Planview's career site. NextChapter is independent of Planview.
Austin, TX · Posted July 23, 2026
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Where Austin, TX ranks
Where Austin, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for professional services pay after cost of living$168k · of 25
- #1Cities with the most jobs that do not need a four-year degree in the Southwest493 jobs · of 38
- #1Best cities for pay after cost of living in the Southwest$168k · of 15
- #1Best cities for pay after cost of living in Texas$168k · of 8
- #1Best cities for software and engineering jobs in the Southwest1,931 openings · of 33
- #1Best all-round cities for mid-career professionals in the Southwest92 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 179 open data scientist listings that state pay, the middle half runs $127,000 to $185,500 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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 202 6 Gartner Magic Quadrant for Strategic Portfolio Management for the fif th 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.
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.
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.