Data Scientist building production ML, NLP, and GenAI solutions for Irth’s critical - infrastructure SaaS platform. Developing Databricks pipelines and maintainable software for damage prevention and asset integrity.
About the role
- Senior R&D Data Scientist at Triton Digital developing innovative solutions for podcast and radio measurement platforms. Collaborating with cross-functional teams to create and validate data-driven solutions.
Responsibilities
- 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, given that black box algorithms might not be suitable most of the time.
- Perform extensive data analyses on the input data at the beginning of a project to understand its issues, the value of the information that can be extracted from it, as well as its applicability to solve the problem at hand.
- 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, or to debug inaccuracies and create solutions to address them.
- Iterate quickly by taking decisions based on results to validate or adjust the course of action for the subsequent analysis steps.
- Prepare results dashboards and presentation materials to explain work progress and outcomes to decision makers, project stakeholders, and during sprint reviews or team meetings.
- Document methodologies and results in systems such as Confluence and Jira.
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, with a minimum of 3 years worked as a main contributor to create, validate and help implement data-driven solutions in PySpark or Scala, where you used advanced data aggregation techniques, statistical methods and ML algorithms.
- 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%
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