Remote Data Scientist / Machine Learning Developer

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Description:

  • The Data Scientist / Machine Learning Developer position is remote and based in Trinidad and Tobago.
  • The role involves utilizing data science and machine learning to address complex business challenges for large enterprises.
  • Responsibilities include conducting exploratory data analysis, designing and implementing machine learning algorithms, optimizing Python-based algorithms, collaborating with cross-functional teams, and presenting findings to stakeholders.
  • The position requires staying updated on the latest advancements in data science and machine learning techniques.

Requirements:

  • Previous experience working as a Data Scientist is necessary.
  • Proficiency in Python programming, Azure Machine Learning, and Azure Databricks is required.
  • Advanced English proficiency is essential for effective communication with international teams.
  • Strong problem-solving and critical thinking skills are needed to tackle complex data challenges.
  • Familiarity with cloud platforms, particularly Azure, and distributed computing environments is advantageous.

Benefits:

  • Comprehensive health and dental plans are provided.
  • Meal allowances are included.
  • Childcare assistance is available.
  • Extended parental leave is offered.
  • Gym pass membership is provided.
  • Annual profit-sharing distribution is part of the benefits package.
  • Life insurance coverage is included.
  • Access to an online mental health platform is provided.
  • Discount club benefits are available.
  • Support program offers legal, financial, physiotherapy, psychological guidance, nutritionist services, and more.
  • Pregnancy course and support for responsible parenthood are offered.
  • Partnership with online course platforms is available.
  • Language learning platform access is provided.
  • And many more benefits are offered to employees.
About the job
Posted on
Job type
Salary
R$ 80,000 - 180,000 BRL / year
Position

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Experience level
Technology stack
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