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Remote Data Scientist

Remote Data Scientist

Turing
2-4 Years
Not Disclosed
Early Applicant
  • Posted 3 months ago
  • Be among the first 10 applicants

Job Description

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

  • Develop and optimize Python-based data science solutions using public datasets.
  • Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
  • Work closely with researchers and stakeholders to align solutions with company goals.
  • Create well-documented Python code using Jupyter notebooks.

Job Requirements:

  • Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
  • Knowledge of Python programming for data analysis.
  • Strong understanding of data science methodologies and analysis techniques.
  • Fluent in spoken and written English.
  • A minimum 5-hour work overlap with PST/PT is required.
  • Strong problem-solving and analytical skills.

Job Benefits:

  • Work with global experts in AI and data science.
  • This is a contractual remote work opportunity without traditional job constraints.
  • Competitive global-standard salary in USD.
  • Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

  • Shortlisted developers may be asked to complete an assessment.
  • If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
  • Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

More Info

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Key Skills

Jupyter notebooks

data science methodologies

About Company

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