AI Engineer building production LLM agents, data pipelines, and analytics tooling for Thomson Reuters’ tax, audit, and accounting products. Monitoring agent quality and supporting product decisions.
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%
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
Senior Data Scientist
LinkedIn Recruiter Post
We're hiring a Senior Data Scientist to support enterprise AI, ML & Data Science initiatives. Strong Python, SQL, predictive modeling, and Azure ML experience required.
Data Science Associate rotating through TD’s Analytics Insights & AI team. Building machine - learning and analytics solutions for one of North America’s leading banks.
Senior data science engineer optimizing MindBridge’s audit - risk models for enterprise customers. Advising on configurations, explainability, diagnostics, and product - boundary escalations.
LP
Data Science Developer – Senior
LinkedIn Recruiter Post
Senior Data Science Developer needed for Supply Ontario. Must have SQL, Python, Azure, Power BI, and public - sector health data experience.
Staff Data Scientist developing advanced machine - learning models for MindBridge Analytics’ enterprise datasets. Leading experimentation, production deployment, technical standards and mentorship.
Data conversion manager leading ETL services for Catalis, a government SaaS and integrated payments provider. Scaling migration standards across court, land records, criminal justice, and jury solutions.
Microbiome Data Scientist analyzing microbiome and clinical data for Tiny Health’s precision testing platform. Developing biomarkers, metrics, publications, and new personalized - health products.
Data Scientist building AI fraud detection models for Oscilar’s risk platform. Analyzing large datasets and strengthening fraud prevention for banks, fintechs, and digital organizations.
GTM Analytics Lead owning revenue data models, metrics, and Sales BI. Powering decisions for ButterflyMX’s smartphone - based building access platform.