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10 часов назад

Data Science Product Owner

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science Product Owner (Machine Learning/Data Analytics): Leading the strategy, prioritization, and delivery of enterprise data science products and capabilities with an accent on backlog management, requirements definition, and cross-functional agile delivery. Focus on translating business needs into machine learning and analytics requirements, validating model outputs, monitoring KPIs, and maintaining governance traceability.

Location: Plano, Texas, United States. Must already have the right to work in the United States; visa or employment-based immigration sponsorship is not available now or in the future.

Company

hirify.global Financial Services is hirify.global and Lexus's North American finance and insurance business, delivering customer-focused financial services and data-driven solutions.

What you will do

  • Own and maintain the backlog for data science products, use cases, and enhancements.
  • Translate business goals into user stories, requirements, acceptance criteria, and delivery priorities.
  • Gather requirements for machine learning models, analytics, predictive capabilities, and automated decisioning.
  • Partner with business leaders, product managers, data scientists, engineers, QA, and technical teams to align scope and priorities.
  • Support agile ceremonies, release readiness, dependency coordination, and risk escalation.
  • Define validation criteria and monitor model performance, experimentation results, adoption, KPIs, and business impact.

Requirements

  • Bachelor's degree in a relevant business, technical, data science, statistics, mathematics, economics, or related field, or equivalent experience.
  • 4+ years of experience in product ownership, business analysis, analytics, or delivery coordination in a technical or data-driven environment.
  • Knowledge of Agile frameworks and product backlog management.
  • Experience with Jira, GitHub, Confluence, and similar collaboration tools.
  • Understanding of data science concepts including model development, experimentation, deployment, and monitoring.
  • Experience with SQL, Python, reporting, dashboards, or analytics tools, with the ability to write credible requirements without building models directly.

Nice to have

  • Experience with A/B testing, experimental design, machine learning lifecycle, or MLE practices.
  • Experience with data pipelines, dashboards, or data quality processes.
  • Financial services or banking experience.
  • Experience with cloud environments such as AWS.

Culture & Benefits

  • Team-oriented, flexible, and respectful work environment.
  • Professional growth programs and tuition reimbursement.
  • Health care, wellness plans, paid holidays, and paid time off.
  • 401(k) plan with company match and possible annual retirement contribution.
  • Vehicle purchase discount and lease vehicle program, where applicable.
  • Relocation assistance and tax-advantaged accounts, where applicable.

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