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.
Method of Application
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