Назад
5 дней назад

Data Science Intern (AI)

54 - 60$
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
Data Science Intern (AI): Turning business and operations data into product, customer, and engineering insights with an accent on causal inference, recommender systems, and machine learning. Focus on exploring data, developing statistical models and algorithms, and delivering end-to-end projects through stakeholder presentation or product deployment.

Location: Mountain View or San Francisco, California; onsite at the Mountain View or San Francisco offices

Salary: $54–$60 USD per hour in the SF Bay Area

Company

Data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.

What you will do

  • Work with data scientists, engineers, and stakeholders across Product, Customer Success, Engineering, Sales, Marketing, and Finance to solve business problems with data.
  • Apply data science methodologies, including causal inference modeling and recommender systems, to real-world data.
  • Deliver insights and deploy algorithms to the data and AI platform.
  • Manage an end-to-end project from data exploration through stakeholder presentation and/or algorithm deployment in a product environment.

Requirements

  • Graduate in fall 2027 or spring 2028 with a Master's or PhD degree in a quantitative field, such as Statistics, Math, Computer Science, Physics, Economics, Operational Research, or Engineering.
  • Proven ability to work with data using SQL and Python.
  • Experience with multiple statistical data analysis and machine learning methods, including generalized linear regression, regression and classification trees, unsupervised learning, causal inference, stochastic processes, and time series forecasting.
  • Interest in solving ambiguous problems collaboratively.

Culture & Benefits

  • Collaborative work with internal stakeholders across multiple business and technical functions.
  • Comprehensive benefits and perks, with details varying by region.
  • Commitment to diversity, inclusion, and equal employment opportunity.

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