Triton Digital

Data Scientist

• Collaborate within the team and cross-functionally to help define the project stages and help select the best approaches at each stage
• Collaborate within the team to form hypothesis and plan the experimental work at each project stage
• Test and compare different methods and algorithms during the experimental project phases
• Produce high quality code in PySpark that is easily reviewed by others and easily incorporated into the project’s data processing pipeline
• Produce methodologies that lead to explainable results
• Select the most appropriate R&D methodology for solving the business problem at hand
• Perform extensive data analyses on the input data at the beginning of a project to understand its issues
• Innovate to create and validate variables and use them as input data to train machine learning models, create custom logic rules, or a combination of both
• Perform extensive data analyses on results throughout the course of a project to validate them
• Prepare results dashboards and presentation materials to explain work progress and outcomes to decision makers, project stakeholders, and during sprint reviews or team meetings

Senior R&D Data Scientist