LP
Senior / Principal Data Scientist
LinkedIn Recruiter Post
Senior / Principal Data Scientist role focused on building and scaling GenAI and Agentic AI systems in production. Location: Toronto (Hybrid). Compensation up to $200K - 225k base.
About the role
- Data Scientist at Just Eat Takeaway.com optimizing driver pay with machine learning and analytics. Collaborating with teams to develop predictive models and incentive programs.
Responsibilities
- Lead efforts in optimizing driver pay.
- Leverage advanced analytics and machine learning techniques to analyze driver performance data.
- Design incentive programs and develop predictive models to maximize earnings.
- Maintain cost-efficiency and ensure timely deliveries.
- Interface with different teams, working under sharp production deadlines.
- Participate in the product development cycle shaping cutting edge solutions.
- Work in an Agile environment, having constant interaction with the team, stand-ups and many peer-reviews.
Requirements
- Demonstrable relevant working experience
- Applied experience with machine learning, data science and solving problems at scale
- Ability to communicate business outcomes and recommendations from analysis verbally and written, ability to present results coherently
- Ability to develop confidently in Python as the majority of our team is using it.
- Confident in extracting and manipulating data from our various SQL and NoSQL data stores and storage frameworks.
- Preferred experience can include : MS degree / PhD degree in a quantitative discipline (eg. Computer Eng., Computer Science, Stats, Physics).
- Undergraduate, if has taken courses related to the field.
- Practical experience on complete modeling lifecycle, from exploratory analysis through deployment, experimentation and monitoring.
- Experience working on a Logistics project
- Experience working with pricing algorithms
- Experience in retail in similar markets to Just-Eat takeaway
- Experience working in agile teams, with code reviews and source control
- Experience with causal inference and multi-objective optimization
- Comfortable with big data stores (Google BigQuery, Amazon Datastores) and tools (including dynamoDB, elasticsearch, S3, SQS, Kinesis) or Spark / Hadoop / Kafka.
Benefits
- Inclusion, Diversity & Belonging
- Professional development opportunities
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
Data Scientist
LinkedIn Recruiter Post
Senior Data Scientist role in Wealth Management, leading AI/ML initiatives to drive investment decisions and client experience. Hybrid in Toronto.
LP
Data Scientist
LinkedIn Recruiter Post
Hiring Data Scientist for 6 - 8 month contract in Toronto, ON. Requires Python, SQL, Databricks, Power BI, and AML/compliance experience.
Senior Data Scientist enhancing Reddit's user experience through data - driven projects. Collaborating with teams to analyze and model data for insights and strategies.
Staff Data Scientist leading strategy and execution for marketing intelligence efforts at Reddit. Focus on optimizing marketing spend and measuring effectiveness for long - term growth.
Data Scientist driving product strategy and user engagement at Reddit. Analyzing data and collaborating with teams to enhance user experiences in online communities.
Senior Data Science Manager leading a team of data scientists to drive marketing analytics at Reddit. Focused on strategic insights and data - driven decision making for marketing efforts.
Data Scientist on Aviva's Fraud Data Science team transforming large datasets into actionable insights. Designing and deploying machine learning models to enhance fraud detection capabilities.
Data Science Student undertaking challenging work assignments in analytics and machine learning at PCL. Collaborating under supervision in a supportive environment for personal and professional growth.
LP
Data Scientist
LinkedIn Recruiter Post
Contract Data Scientist role with a top banking client in Toronto, hybrid onsite 2 - 3 days/week, until Oct 2026.