Data Scientist

A NASDAQ-listed company that wants to create innovative commercial and research AI solutions is looking for a Data Scientist. The selected candidates should be exceptionally Python-savvy and will be joining an ambitious team that is committed to expanding the boundaries of artificial intelligence. The company is creating cutting-edge solutions with the goal of leading the way in AI development. The company has managed to secure more than $24bn 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, or other suitable mediums
• Fix bugs in the code and create thorough documentation
• Utilize extensive 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 2 years of relevant experience as a data scientist
• 2+ years of data analysis experience with strong data analytic abilities and business sense to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings
• 2+ years of experience working with Python programming
• Excellent problem-solving and analytical skills
• Excellent communication abilities to work with stakeholders and researchers successfully
• Fluent in conversational and written English communication skills

Offer Details:

• Long term contractor position
• Full time dedication (40 hours / week)
• Requires 4 hours overlap with PST (Pacific Standard Time)

Interview Process:

MCQs / Automated coding challenge (Offline) then one round of Technical interview with live coding challenge.