11 минут назад
Data Science Intern (Python/SQL)
22 - 27$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Intern (Python/SQL): Analyzing large datasets and developing data-driven insights with an accent on statistical methods, machine learning, visualization, and data quality. Focus on building predictive models, automating data collection, translating business goals into technical solutions, and communicating findings to non-technical stakeholders.
Location: Denver, Colorado, 80205, United States; hybrid work with required in-person commuting
Salary: $22.10–$27.90 per hour
Company
is an electricity and natural gas energy company serving customers across eight Western and Midwestern states.
What you will do
- Analyze large datasets using statistical methods and machine learning algorithms.
- Develop predictive models and support data-driven business decisions.
- Use data visualization tools to communicate insights and recommendations.
- Assist with automating data collection and maintaining data quality and integrity.
- Translate business goals into technical solutions and present findings to non-technical stakeholders.
- Collaborate with senior team members and cross-functional teams.
Requirements
- Current senior-level student or higher, enrolled in an accredited college or university.
- Pursuing a degree in computer science, data science, statistics, mathematics, or a related analytical field.
- Availability for full-time work during the summer, up to 40 hours per week, and part-time work during the school year, up to 20 hours per week.
- Ability to commute to the designated work location in person under the hybrid work policy.
- Working knowledge of Python and SQL.
- Knowledge of machine learning techniques, large-dataset analysis, and data visualization.
Nice to have
- Databricks experience.
- Application development skills.
- Additional Python and SQL coding experience.
Culture & Benefits
- Internship start date: May 24, 2027.
- The internship may be extended based on performance and business needs.
- Pension plan and 401(k) plan.
- Paid time off and holidays.
- Learning and development opportunities through collaboration with experienced colleagues.
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