Python Data Analyst/Programmer

The successful candidate will be responsible for analyzing a large dataset consisting of over 2000 sets of 1000 data points each. Our program analyzes, compares, and reports on the data, as well as generates graphical representations of the results.

Responsibilities:

Troubleshoot and debug the existing Python program, which contains over 90 function definitions.
Perform data manipulation and analysis on the high-frequency data sets.
Add new features and enhancements to the program as needed.
Collaborate with the team to optimize performance and scalability.
Conduct thorough testing to ensure the accuracy and reliability of the program.

Requirements:

Strong proficiency in Python programming language.
Deep understanding of data manipulation techniques.
Experience working with large datasets and performing complex calculations.
Ability to troubleshoot and debug Python code effectively.
Familiarity with data visualization libraries such as Matplotlib or Seaborn.
Excellent problem-solving and analytical skills.
Bachelor's degree in Computer Science, Data Science, or a related field (preferred).

Nice to Have:

Experience with performance optimization techniques.
Knowledge of machine learning algorithms and techniques.
Familiarity with version control systems (e.g., Git).
Experience with database management systems (e.g., SQL).
Benefits:

Temporary with Potential for Long-Term Employment:
This position is initially temporary, but there is potential for long-term employment based on performance and business needs. We are committed to providing opportunities for growth and development within our team, and exceptional performance during the temporary period may lead to consideration for permanent employment.

Please send your resume and a cover letter highlighting your relevant experience to [contact email]. In your cover letter, we encourage you to include any links to GitHub repositories, personal projects, or relevant work samples that showcase your Python programming skills and experience with data manipulation and analysis. Providing examples of your work will greatly enhance your application and help us better understand your capabilities.