Optym - Python Developer (3-5 yrs)

Company Overview :

Founded in 2000, Optym is building SaaS solutions for the transportation and logistics industry and making it more efficient.

Optym's software solutions are used by leading railroads, airlines and trucking companies, and have created a cumulative business value of over $1 billion for its clients. With its headquarters based in Dallas, Texas, and centers of excellence located in Europe and India, Optym's team consists of 250+ professionals.

Optym has about 50 highly specialized professionals in US and is expecting a major growth in the next five years. Optym offers competitive wages, excellent benefits, a great working environment, and the culture of entrepreneurship and ownership.

Optym offers a generous profit and equity sharing plan with the potential to increase your compensation substantially salary based on the success of Optym.

We are looking for a Python Developer with 3-5 years of experience who has strong expertise in data science, data analysis, and python scripting.

The ideal candidate should have hands-on experience in writing efficient Python scripts to process, analyze, and automate data workflows.

Key Responsibilities :

- Develop, test, and maintain Python scripts for data analysis.

- Work with large datasets to extract insights and drive decision-making.

- Collaborate with data scientists and engineers to integrate models into production.

- Write clean, efficient, and well-documented code.

- Troubleshoot and optimize existing Python scripts for performance improvements.

Required Skills & Qualifications :

- 3-5 years of hands-on experience in Python development.

- Strong knowledge of data science libraries (NumPy, Pandas, Scikit-learn, etc.)

- Experience in writing automation scripts for data processing and workflows.

- Strong problem-solving and analytical skills.

- Experience with AWS cloud platform is a plus.

- Experience in machine learning model deployment is a plus.

- Good communication skills and ability to work independently.