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4 дня назад

Data Scientist Intern (Machine Learning)

22 - 27$
Формат работы
hybrid
Тип работы
parttime
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
Data Scientist Intern (Machine Learning/Python): Developing analytics products, data flows, ETL workflows, and models in Databricks for energy business use cases with an accent on Python, SQL, cloud analytics, and data engineering. Focus on building model inputs and outputs, integrating enterprise data platforms, analyzing rates and costs, and delivering data-driven solutions with guidance from senior team members.

Location: Minneapolis, Minnesota, with in-person commuting required under the hybrid work policy. The position is associated with MN and CO and starts May 24, 2027.

Salary: $22.10–$27.90 per hour

Company

Energy company providing electricity and natural gas products and services to customers across eight Western and Midwestern states.

What you will do

  • Deliver analytics projects with guidance from senior team members.
  • Design and optimize business processes and data flows within Databricks/XDF architecture.
  • Develop data products, ETL workflows, applications, and model inputs and outputs.
  • Support rate and cost analysis, ad hoc analytics, and modeling initiatives.
  • Integrate enterprise data platforms and partner with business teams across resource planning, distribution, transmission, and gas operations.
  • Communicate analytical findings and recommendations.

Requirements

  • Current graduate student enrolled in an accredited college or university.
  • Pursuing a degree in data science, computer science, statistics, applied mathematics, analytics, operations research, engineering, information systems, or a related field.
  • Must be able to commute to the designated work location in person under the hybrid work policy.
  • Available to work up to 40 hours per week during summer and up to 20 hours per week during the school year.
  • Knowledge of Python, SQL, Git, and cloud-based analytics tooling.

Nice to have

  • Coursework in machine learning, statistical modeling, data structures and algorithms, database systems, data engineering, cloud computing, optimization, time series analysis, operations research, or predictive analytics.
  • Experience with Python, PyTorch, and PySpark.

Culture & Benefits

  • Mentorship and opportunities to develop technical and business expertise during the internship.
  • Potential to extend the internship based on performance and business needs.
  • Pension and 401(k) plan.
  • Paid time off and holidays.
  • Work supporting energy services for local communities.

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