5 дней назад
Intern - Data Scientist (Automotive)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern - Data Scientist (Automotive): Building and optimizing audience and statistical models for automotive customer analytics with an accent on data visualization, market research, and data-driven storytelling. Focus on evaluating models, identifying patterns with SQL and statistical methods, and transitioning data solutions into production systems.
Location: Remote/Homebased in Conway, Arkansas, United States
Company
works with customer data, analytics, and data-driven marketing solutions.
What you will do
- Support data-driven storytelling and visualization initiatives for the Automotive team, with GM as the first priority.
- Use internal and partner data to develop high-value audience opportunities and analytical models.
- Build, evaluate, and optimize statistical and data science models.
- Apply algorithms and statistical modeling to improve product performance and quality.
- Collaborate with data scientists, team leads, account teams, and external stakeholders to define requirements and business goals.
- Help transition development projects and data solutions into production systems.
Requirements
- Currently pursuing a bachelor's or master's degree in business, data science, statistics, mathematics, or a related field; an MBA or similar graduate degree is relevant.
- Basic to moderate SQL experience for modeling data and identifying patterns.
- Knowledge of marketing analytics, data science, visualization, business analysis, statistics, or market research.
- Strong interpersonal, communication, organizational, and independent-working skills.
- Ability to collaborate effectively and manage detailed work across multiple projects.
- Availability for 20–25 hours per week during the semester and up to 40 hours per week during breaks and summer.
Nice to have
- Experience with Google Cloud Platform, Google Analytics, Tableau, or Looker.
- Experience applying statistics and data science tools to datasets.
- Scripting experience with Python, Perl, or similar languages.
- Ability to read Java logs and XML to identify issues.
- Proficiency with Microsoft Office Suite and CRM software.
Culture & Benefits
- Fast-paced, high-performance environment focused on innovative work.
- Emphasis on collaboration, operational improvement, and professional development.
- Focus on work-life balance and an engaging workplace culture.
- Opportunities to develop as a future leader and contribute to challenging projects.
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