Data Scientist

Summary

Join Pavago's team as a Data Scientist to enhance algorithm performance and integrate machine learning models. This full-time, remote position involves collaborating with a team to develop anomaly detection methods, debug and optimize algorithms in Python and C#, and implement machine learning models. You will leverage threading, multithreading, and GPU processing for large-scale datasets and utilize prompt engineering techniques. Project management skills using tools like Asana, Azure Boards, Slack, or Jira are required. The ideal candidate possesses advanced algorithm skills, machine learning expertise, and data processing mastery.

Requirements

• Proficiency in Python and C#
• Experience with threading, multithreading, and GPU processing
• Knowledge of unit testing frameworks and methodologies
• Strong analytical and problem-solving abilities
• Ability to diagnose code issues using visualizations
• Proficiency in project management tools
• Knowledge of prompt engineering
• Eagerness to implement AI into workflows
• Experience in algorithm development and debugging in Python and C-based languages
• Experience working with large-scale datasets
• Background in machine learning

Responsibilities

• Collaborate with the team to develop methods and protocols for detecting and flagging anomalies in the algorithm’s output
• Work closely with the Director of Research to debug and optimize backend engine algorithms in Python and C#
• Enhance algorithm performance for large-scale datasets, utilizing threading, multithreading, and GPU processing techniques
• Implement machine learning models to improve statistical modeling and predictions
• Apply prompt engineering techniques to streamline workflows and improve efficiency
• Use tools like Asana, Azure Boards, Slack, or Jira to manage tasks and communicate with the team

Preferred Qualifications

• Familiarity with machine learning frameworks (TensorFlow, PyTorch) and SQL
• Extensive experience developing and debugging algorithms in Python and C#
• Proficiency in implementing machine learning models and frameworks such as TensorFlow or PyTorch
• Adept at working with large-scale datasets and optimizing computational tasks using threading, multithreading, and GPU processing
• Proactive, with a strong commitment to code quality and performance optimization

Benefits

Remote work