Python Data Scientist

Industry: Software
Remote
Company size: 51-250
Full-time/Part-time

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Job description

A U.S.-based company that is developing AI safety and research solutions with an emphasis on enhancing the security of substantial AI systems, is looking for a Python Data Scientist. The selected candidate will be in charge of conducting peer code reviews and offering helpful criticism. To ensure that the revolutionary potential of AI benefits all of humanity, the organization is utilizing the power of modern Artificial Intelligence technology to sculpt a brighter future for the next generations. The company has managed to secure more than $2.7bn in funding so far. 

 

Job Responsibilities:


  • Write effective Python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public databases
  • Communicate clearly with researchers and help the organization in realizing its objectives
  • Clearly express the reasoning and logic when writing code in Jupyter notebooks
  • Fix bugs in the code and create thorough documentation
  • Utilize your data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.)
  • Effectively communicate with the researchers to comprehend the needs and provide the results


Job Requirements:


  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data scientist
  • 2+ years of Data analysis experience and a desire to have a significant impact on the field of artificial intelligence
  • 2+ years of experience worling with Python programming
  • Extensive experience working with Data Science/Analysis
  • Familiarity with SQL and related technologies is nice to have
  • Excellent communication abilities to work with stakeholders and researchers successfully
  • Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings
  • Excellent problem-solving and analytical skills
  • Fluent in conversational and written English communication skills 

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