Sr. Data Scientist

Planview Sr. Data Scientist Opportunity

Join our team as a Sr. 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) 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. (PhD a plus)
• 5+ years of experience building and deploying data science, optimization, or simulation solutions.
• Proficiency 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.
• Demonstrated ability to lead technical projects and mentor others.
• 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).
• 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 View email address on click.appcast.io.