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23 часа назад

Senior Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Scientist (AI) (Automotive Finance): Building predictive, prescriptive, and statistical models for originations, collections, risk, pricing, fraud, customer experience, and marketing with an accent on advanced statistical methods, machine learning, forecasting, and optimization. Focus on analyzing large and complex datasets, monitoring model performance, translating business questions into quantitative solutions, and communicating recommendations to senior leadership.

Location: Fort Worth, Texas, United States; hybrid schedule with two days per week in the office

Company

hirify.global is General Motors' captive finance subsidiary, providing retail and commercial automotive financing and leasing solutions across North America, South America, and the Asia Pacific region.

What you will do

  • Design, develop, deploy, and maintain predictive, prescriptive, and statistical models for originations, collections, risk, pricing, fraud, customer experience, and marketing.
  • Conduct research, data analysis, forecasting, optimization, data mining, and advanced statistical and machine learning studies.
  • Develop algorithms and models for business metrics, operational improvement, and decision support.
  • Lead research projects from study design and data collection through analysis, recommendations, and delivery of business impact.
  • Present findings and recommendations to internal clients, business leadership, and senior management.
  • Provide leadership, coaching, and mentoring to Data Scientists I and II while managing multiple projects and deadlines.

Requirements

  • 4+ years of experience as a Data Scientist or in a similar quantitative field.
  • Master's degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics, or a related quantitative field; equivalent education, certifications, and experience may be considered.
  • Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, and PowerPoint.
  • Advanced knowledge of regression, sampling, time series, survival analysis, clustering, decision trees, multivariate methods, non-parametric techniques, principal components, and linear programming.
  • Experience with large datasets, data warehouses, model documentation, and monitoring protocols.
  • Strong analytical, problem-solving, written, verbal, collaboration, and presentation skills, including the ability to explain complex concepts to senior management.

Nice to have

  • Experience applying AI tools such as Microsoft Copilot in daily workflows.
  • Experience evaluating AI outputs for accuracy, compliance, and bias.
  • Experience integrating AI into workflows and familiarity with AI-assisted research, summarization, and content generation.
  • Understanding of responsible AI, ethics, and data protection.

Culture & Benefits

  • Flexible hybrid work environment with two office days per week.
  • Benefits available from day one, including 401(k) matching and 12 weeks of fully paid bonding leave for new parents.
  • Tuition assistance and training opportunities.
  • GM employee auto discount, community service pay, and nine company holidays.
  • Innovative, collaborative culture focused on integrity, inclusion, and community.

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