Вакансия из списка Hirify.Global
hirify.global
15 days ago

Data Scientist

Формат работы
remote
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Brazil

Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.

Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа

Описание вакансии

Текст:
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TL;DR

Data Scientist: Developing and validating predictive and prescriptive models using Python, R, TensorFlow, and IBM AI tools with an accent on big data and machine learning techniques. Focus on designing and implementing analytical solutions, collaborating in agile teams, and communicating results to diverse stakeholders.

Location: Remote (Brazil)

Company

hirify.global is part of IBM Consulting, a global professional services business delivering business and technology transformation with expertise in AI and hybrid cloud.

What you will do

  • Implement and validate predictive and prescriptive models focusing on big data and machine learning.
  • Write efficient programs for data cleansing and integration.
  • Collaborate in an agile environment with scientists, engineers, consultants, and DBAs.
  • Communicate with clients to understand business needs and define modeling techniques.
  • Evaluate and present modeling results to technical and non-technical audiences.

Requirements

  • Location: Must be based in Brazil
  • Strong fundamentals in Mathematics and Computer Science (algorithms).
  • Proficiency in at least one statistical programming language such as R, Python, Scala, SAS, SPSS, or Matlab.
  • Basic understanding of predictive/prescriptive modeling skills.
  • Experience with programming/scripting in Java or Python.
  • Strong problem-solving, debugging, and troubleshooting skills.

Culture & Benefits

  • Focus on professional development through ongoing learning, mentorship, and career growth.
  • Culture of coaching, collaboration, and continuous feedback.
  • Encouragement to experiment and be courageous in problem-solving.
  • Commitment to diversity, equity, and inclusion, including support for people with disabilities.
  • Work in a global, innovative environment with leading-edge technology.