Python Data Scientist/Analyst

Found in: Whatjobs IN C2 - 1 week ago


Delhi, India Job Excel Full time
Job DescriptionWe are actively seeking talented Data Scientists & Analysts proficient in Python to join

ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions.

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

Requirements

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 and a desire to have a significant impact on the field of artificial intelligence

2+ years of experience working with Python programming

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

Excellent communication abilities to work with stakeholders and researchers successfully

Fluent in conversational and written English communication skills

Benefits Remote WorkRequirementsStrong 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 Excellent communication abilities to work with stakeholders and researchers successfully
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