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Hybrid Remote Data Scientist - Python Remote Data Scientist - Python with verification

Turing · India · Hybrid

About the job

An esteemed US-based client is on the lookout for a dedicated Data Scientist to join their dynamic team.

Your role as a Data Scientist will involve conducting thorough peer code reviews daily and offering constructive feedback for improvement. Furthermore, you'll work closely with researchers and other stakeholders to align with project requirements effectively.

Job Responsibilities:
  • Develop Python scripts to analyze public datasets and extract valuable insights.
  • Maintain regular communication with researchers to ensure alignment with company objectives.
  • Write explanatory code using Jupyter notebooks for transparency and reproducibility.
  • Utilize publicly available data sources such as Kaggle to address business-related queries.

Job Requirements:
  • Bachelor’s or Master’s degree in Engineering, Computer Science, or related field, or equivalent experience.
  • Minimum of 2 years of industry experience as a data scientist.
  • 2 years of hands-on experience in data analysis.
  • Proficiency in Python with a professional background of 2 years.
  • Understanding of data science and analysis methodologies.
  • Fluent in spoken and written English.

Desirable:
  • Having expertise in SQL is advantageous.
  • Strong problem-solving and analytical abilities.

Job Benefits:
  • Collaborate with leading experts globally and become part of a network tailored to your aspirations
  • Enjoy the flexibility of remote work without traditional job constraints
  • Competitive salary based on global standards in USD
  • Contribute to pioneering projects that push technological boundaries, keeping you at the forefront of your field.

Join us now and advance your career. Take the tests and multiple-choice questions today to increase your chances of securing one of our exciting positions. Seize this opportunity to play a pivotal role in our mission and transform the technology landscape for all.