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2 дня назад

Senior Machine Learning Engineer

160 000 - 180 000CAD
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer: Develops and deploys machine learning models and algorithms to enable systems to learn from data, make predictions, and automate decision-making processes with an accent on driving innovation and efficiency across various domains. Focus on advanced statistical and machine learning algorithms including recommendation systems, bayesian statistics, segmentation, NLP and deep learning.

Location: Remote

Salary: $160,000 - $180,000 CAD

Company

hirify.global partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments.

What you will do

  • Evaluate experiment results to inform product owners of data science capability impact.
  • Communicate experiment results and opportunities to product teams.
  • Perform advanced analyses of user behaviour and operational content data to identify and understand data science opportunities, frame problems, and prototype solutions.
  • Oversee, design, build and maintain key statistical or machine learning solutions to advance product features or augment analyses for decision making.
  • Provide guidance to team members in problem framing, technical approach and code by providing engaged and constructive feedback.
  • Effectively build and communicate technical strategies with built-in optionality to leadership.

Requirements

  • Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
  • 4+ years of relevant experience in data science focused on machine learning or similar field.
  • Experience doing quantitative analysis.
  • Experience in working with Scala, Spark, Python, R and related big data technologies.
  • Experience with large data sets and distributed computing (Spark).
  • Deep knowledge in data mining and machine learning.

Nice to have

  • Experience with recommendation systems & personalization.
  • Data visualization experience to present findings at the appropriate level of detail for product teams.

Culture & Benefits

  • Inclusive, collaborative environment where your voice matters.
  • Remote-first environment.
  • Tools and opportunities you need to grow and develop.
  • Opportunity to own your success.

Hiring process

  • Fill out the fields and submit your application.
  • A member of our recruitment team will respond to you in the coming weeks.

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