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9 дней назад

2027 TFS Data Science Internship

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
2027 TFS Data Science Internship (Python/R/SQL): Analyzing customer and financial services data, building predictive models, and developing analytical solutions for credit risk, pricing, customer management, finance, and related business areas with an accent on statistical analysis, machine learning, and data visualization. Focus on extracting and wrangling large datasets, evaluating experiments, deploying models, and presenting data-driven recommendations to business leadership.

Location: hirify.global Headquarters, Plano, Texas, United States. Approximately 12 weeks onsite from May to August 2027.

Company

hirify.global is a global automotive company, and hirify.global Financial Services provides financial services connected to the automotive business.

What you will do

  • Partner with business stakeholders to identify key questions about customers and customer value.
  • Extract and wrangle data from internal and external systems using SQL, Python, R, and related tools.
  • Analyze data and build, manage, and deploy analytical models and solutions.
  • Support projects in sales and marketing, credit risk, residual value, customer management and collections, finance and HR, insurance, or manufacturing.
  • Create visualizations and fixed reports using Tableau, Power BI, and other tools, and prepare PowerPoint presentations with recommendations.
  • Develop analytical project plans and participate in project planning and prioritization sessions.

Requirements

  • Must be within one year of completing a Master’s or Ph.D. in a heavily analytical discipline.
  • Must be at least 18 years old.
  • Must have reliable transportation.
  • Must have the right to work in the United States and must not require hirify.global sponsorship for immigration-related employment now or in the future.
  • Minimum GPA of 2.7.
  • Advanced hands-on experience with Python, including NumPy and Pandas, scikit-learn, R, and/or SQL.
  • Experience applying statistical and machine learning techniques to solve problems.
  • Familiarity with logistic regression, time series analysis, experimental design, generalized linear models, mixed modeling, multivariate statistics, large-scale predictive modeling, CHAID and decision trees, gradient boosted trees, random forests, and neural networks.
  • Ability to solve problems, think creatively, learn, grow, present analysis results, and make recommendations to leadership.

Culture & Benefits

  • Teamwork-, flexibility-, and respect-oriented work environment.
  • Professional growth and development programs and opportunities.
  • Internship includes on-the-job experience, networking, and mentorship.
  • Strong performers may receive an opportunity to return for a full-time position.

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