8 часов назад
Data Scientist (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI): Building optimization, simulation, and predictive modeling capabilities for portfolio planning solutions with an accent on resource allocation, risk analysis, and delivery forecasting. Focus on designing MCP interfaces that expose advanced data science capabilities to Planview Anvi and other AI agents.
Location: Austin, Texas; hybrid work
Company
provides connected work, strategic planning, portfolio and resource management, Lean and Agile delivery, and collaborative project management solutions for organizations worldwide.
What you will do
- Formulate and solve optimization problems for portfolio prioritization, investment and resource allocation, and capacity planning.
- Build Monte Carlo and discrete-event simulation models to stress-test portfolio plans, quantify risk, and forecast scenario outcomes.
- Develop, test, and refine predictive models for delivery timelines, portfolio outcomes, and investment performance.
- Design MCP interfaces that expose optimization, simulation, and predictive capabilities to Anvi and other AI agents.
- Translate customer challenges into data-driven product enhancements and collaborate across product development.
Requirements
- Master’s degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a related field.
- 3–7 years of experience with Python and SQL, including pandas and scikit-learn.
- Experience with optimization or simulation methods such as linear or integer programming, heuristics, Monte Carlo, or discrete-event simulation.
- Strong knowledge of machine learning algorithms and statistical methodologies.
- Experience translating customer challenges into data-driven product improvements.
- Strong written and verbal communication skills.
Nice to have
- Familiarity with SAFe, Lean Portfolio Management, Agile, or Waterfall planning frameworks.
- Experience with AWS services including Athena, SageMaker, Lambda, and Bedrock.
- Experience with optimization solvers, simulation libraries, large language models, agent frameworks, MCP, knowledge graphs, or ontologies.
Culture & Benefits
- Hybrid work with flexible working hours and environment.
- Four company-wide paid Unplugged Days each year and region-dependent PTO.
- Region-specific benefits including parental leave, retirement, medical plans, wellness support, and remote work support.
- Paid time to volunteer during Force for Good Week.
- Weekly office lunches for hybrid team members and social events.
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