Description:

Pavago is seeking a data scientist to work with a client on a contract, full-time, remote basis.
The role involves enhancing algorithm performance and integrating machine learning models to improve predictive capabilities.
Key responsibilities include collaborating with the team to develop methods for detecting anomalies in algorithm outputs, debugging and optimizing backend engine algorithms in Python and C#, enhancing algorithm performance for large-scale datasets, implementing machine learning models, applying prompt engineering techniques, and managing projects using tools like Asana, Azure Boards, Slack, or Jira.
A typical day will focus on refining complex algorithms, performing unit tests, debugging, optimizing algorithms, and collaborating with the team to troubleshoot issues.

Requirements:

Proficiency in Python and C#, with experience in threading, multithreading, and GPU processing, as well as knowledge of unit testing frameworks and methodologies.
Familiarity with machine learning frameworks such as TensorFlow and PyTorch, and SQL is a plus.
Strong analytical and problem-solving abilities, with the capability to diagnose code issues using visualizations and proficiency in project management tools.
Experience in algorithm development and debugging in Python and C-based languages, working with large-scale datasets, and a background in machine learning is highly desirable.
Candidates should have advanced algorithm skills, machine learning expertise, data processing mastery, and be proactive and detail-oriented.

The position offers the opportunity to work remotely and be part of a dynamic team focused on algorithm optimization and machine learning.
Candidates will have the chance to enhance their skills in a collaborative environment and work on innovative solutions that have a real-world impact.
The role provides exposure to various project management tools and methodologies, enhancing professional development in the field of data science.