Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятные задачи для стажёра, наставничество и практический опыт в data science и engineering делают эту вакансию сильным стартом, хотя направления проектов широкие, а стажировка длится всего 12 недель.
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Широкий круг задачАктуальные технологииНаставничествоФинансы и образование
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Science & Engineering Intern (AI) (SQL/Python): Building data pipelines, analytical solutions, predictive models, dashboards, and AI-enabled products for digital marketing, education services, business analytics, and student lending with an accent on data quality, business requirements, and communicating findings to nontechnical partners. Focus on preparing multi-source data, validating analytical outputs, developing forecasts, and using AI-assisted tools to create reliable code.
Location: Hybrid, with 3 days per week in-office at the Newark, DE or Arlington, VA offices, United States
Company
hirify.global provides education financing and services that help students and families plan, pay for, and complete higher education.
What you will do
Prepare, transform, and analyze multi-source data using SQL and Python.
Translate business requirements into technical solutions with data team members.
Support data pipelines, analytical solutions, dashboards, reporting tools, and backend development.
Contribute to predictive models, time series forecasts, and AI enablement for digital marketing, digital products, business analytics, and student lending.
Investigate data quality issues, validate analyses and data products, and document technical methods and findings.
Communicate results to nontechnical partners and validate code generated with AI-assisted development tools.
Requirements
Currently enrolled in an accredited university in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, Artificial Intelligence, or a related technical field.
Open to undergraduate and graduate students graduating between December 2027 and May 2028.
Experience using SQL to query, join, filter, and aggregate data.
Experience using Python for data analysis, machine learning, or artificial intelligence.
Working knowledge of digital marketing measurement, including click-through rates, UTM tracking, campaign attribution, and traffic sources.
Ability to explain analytical findings and technology solutions to nontechnical audiences.
Strong attention to detail, communication skills, curiosity, and willingness to learn unfamiliar tools.
Nice to have
Experience with cloud data platforms such as Snowflake, Databricks, or AWS.
Experience with version control systems such as GitHub.
Experience analyzing website, paid media, or CRM data from platforms such as Meta, HubSpot, or Salesforce.
Culture & Benefits
Paid 12-week internship from June 7, 2027 through August 28, 2027, with a 40-hour work week.
Internship program includes exposure to senior leaders, meetings, mentorship, and performance feedback.
Benefits include PTO, floating holidays, 12 federal holidays, retirement 401(k) with employer match, and medical, dental, and vision coverage.
Additional benefits include parental leave, adoption reimbursement, disability and life insurance, wellness support, tuition reimbursement, family scholarship programs, and career development opportunities.
Flexible hybrid working arrangements, with on-site fitness centers in Delaware and gym subsidies elsewhere.
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