NimbleByte Global is a dynamic technology firm specializing in providing top-notch staff augmentation and consultancy services to meet the diverse technology needs of businesses across various industries. We help companies build exceptional teams for their projects and long-term growth. With a deep talent pool and a commitment to excellence, we offer tailored solutions that empower organizations to achieve their IT objectives efficiently and cost-effectively. We aim to be the trusted partner that empowers businesses to thrive in the ever-evolving technology landscape.Job Summary
NimbleByte Global is looking to hire a Data Analyst/Scientist for one of our partners.
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.
Engagement length is 6-12 months with the option of extension.
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
Bachelor’s/master’s degree in engineering, Computer Science (or equivalent experience)
At least 2 years of relevant experience as a data scientist.
Minimum of 4 years of data analysis experience and a desire to have a significant impact on the field of artificial intelligence.
3+ 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.
