Назад
Company hidden
18 часов назад

Data Analyst (AI)

8 800 - 9 880$
Формат работы
hybrid
Тип работы
project
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Data Analyst (AI): Designing and deploying data-driven solutions leveraging artificial intelligence and machine learning with an accent on predictive use cases and scalable intelligent systems. Focus on developing AI bots for trend identification and maintaining robust data pipelines.

Location: Grand Prairie, TX (Hybrid). Must be a US Citizen and Resident.

Salary: $55 - $61.75 per hour

Company

hirify.global is a technical staffing and recruiting firm providing specialized talent for diverse client projects.

What you will do

  • Design, build, and maintain data pipelines and infrastructure to support AI initiatives.
  • Develop, train, and deploy machine learning and AI models for predictive and prescriptive use cases.
  • Create and deploy AI bots to increase efficiency in identifying and finding trends.
  • Analyze large, complex datasets to extract insights and communicate findings to stakeholders.
  • Implement data preprocessing, feature engineering, and model evaluation techniques.
  • Ensure data quality, integrity, and governance across all systems.

Requirements

  • Must be a US Citizen and Resident.
  • Experience in Data Analysis and Quality Analysis.
  • Proficiency in software development and programming skills.
  • Experience in trend analysis.
  • Ability to work onsite in Grand Prairie, TX (Monday, Tuesday, Wednesday).

Culture & Benefits

  • Hybrid work arrangement: 3 days onsite, 1 day from home.
  • Flexible hourly schedule.
  • W2 hourly contract (no C2C or 1099).

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →