Triton Digital

Senior R&D Data Scientist

Triton Digital

full-time

Posted on:

Location Type: Hybrid

Location: Toronto • Canada

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Job Level

Senior

Tech Stack

PySparkPythonScala

About the role

  • 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

Requirements

  • Minimum education requirement: BSc or MSc in computer science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines
  • Minimum 5 years of work experience in a business environment using Python, PySpark or Scala
  • Minimum of 3 years worked as a main contributor to create, validate and help implement data-driven solutions in PySpark or Scala
  • Proven track record of using judgment and decision skills to interpret results, to communicate, and to carry out R&D data science work in a result-driven manner
  • Proven track record of using exploratory data analysis to understand the input data and the results, and to investigate problems to find the causes and create solutions
  • Ability to work under pressure, learn continuously and pivot to correct the course of the R&D data science work
  • Ability to focus on the problem and use creative approaches efficiently from the early stages of a project when there are more unknowns than knowns
  • Ability to work both independently and collaboratively within the Data Science team and with cross-functional teams
  • Strong communication and time management skills.
Benefits
  • Fully remote position
  • 4 weeks of vacation + 5 paid personal days annually
  • Group insurance programs as of your first day, including access to telemedicine and an EAP
  • Collective RRSP with matching contribution of 4%
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPySparkScaladata analysismachine learningR&D methodologyexperimental designdata processingstatistical analysisexploratory data analysis
Soft Skills
collaborationcommunicationtime managementproblem-solvingcreativitydecision-makingadaptabilityindependenceteamworkjudgment