Turing Hiring Drive 2024 For Python Data Scientist | Work From Home

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Turing Hiring Drive 2024: Turing Hiring Drive 2024 for its Python Data Scientist. Turing Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s or master’s in Engineering/Computer Science. if you are interested, please apply as soon as possible.

Company Name: Turing

Role: Python Data Scientist

Location: Remote

Experience: 2+ years

Qualification: bachelor’s or master’s in Engineering/Computer Science

Batch: Any

Job Type: Full Time

Salary: 6.1 To 24.0 LPA (Expected)

Turing Hiring Drive 2024

Job Description:

  • Write Python code to address hard problems and look at public data for insights.
  • Speak plainly with researchers to support company aims.
  • Detail your code’s logic plainly in Jupyter notebooks.
  • Analyze big data sets to answer vital company questions using data from different sources.

Requirements:

  • Have a bachelor’s or master’s in Engineering/Computer Science or similar experience.
  • 2+ years in a data science role.
  • 2+ years analyzing data and eager to make a mark in the tech industry.
  • Experience with Python for at least 2 years.
  • In-depth experience in data science and analysis.
  • Good command over both written and verbal English communication
  • If you know SQL, that’s a bonus.
  • Must be a great communicator to work with the research team.
  • Sharp business and data analysis skills to get the right results from data and explain them.
  • Excellent at figuring things out and thinking through data.

Responsibility:

  • Collaborate with elite minds in research and development hailing from across the globe
  • Embrace the flexibility of a remote work lifestyle, allowing you to bring forth your best work in your own workspace
  • Earn a good salary in US dollars that meets worldwide standards
  • Immerse yourself in innovative projects that consistently offer a blend of excitement and intellectual growth, positioning you at the forefront of technological evolution

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