IT & data jobs in Canada

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Added 18 days ago
M
RQ00812 - Business Intelligence Specialist - Oracle - Senior
Maarut
Toronto, ON
- Contract
Senior-level Oracle experience, including complex SQL, PL/SQL, data extraction, performance tuning, data profiling, and analysis of production data structures.
Added 18 days ago
CC
systems analyst
Canadian Canning Inc.
Hamilton, ON
- Full-time
Assess physical and technical security risks to data, software and hardware
Added 18 days ago
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Senior Staff Data Engineer
Cohere
Remote, Canada
- $275,000 to $450,000 CAD / year
- Full-time
- Remote
…and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy,…
Added 18 days ago
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Business Systems Analyst- Payments Modernization
CGI
Toronto, ON
- Full-time
Requirements & Process Analysis: Understand business needs to conduct comprehensive business analysis, prepare data mapping, analyze detailed functional requirements, and develop use cases,…
Added 18 days ago
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Senior Business System Analyst -Data Migration
Bench
Toronto, ON
- Full-time
We are looking for an experienced Senior Business Systems Analyst / Data Migration Specialist to support data transformation and migration initiatives across Salesforce and surrounding data…
Added 18 days ago
Senior Business Systems Analyst
College of Pharmacists of British Columbia
Vancouver, BC
Added 18 days ago
CO
Systems Administrator
City of Winnipeg
Winnipeg, MB
- Full-time
Backup and Recovery Services, such as Veeam Data Platform and Azure Backup
Added 18 days ago
BS
Technical Business Systems Analyst – Wealth Management
BULLTECH SOLUTIONS LTD
Toronto, ON
- Full-time
Experience eliciting and documenting business, functional, technical, data, integration, security, and non-functional requirements, user stories, acceptance criteria, and process flows.
Added 18 days ago
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IT Support Technician
Avana
Regina, SK
- Full-time
Protect company information and maintain confidentiality when handling user accounts, devices, and data.
Added 18 days ago
CD
database analyst
Community Development Council Durham
Ajax, ON
- Full-time
Collect data to identify areas for improvement within an organization’s IT infrastructure
Added 18 days ago
RC
information systems business analyst
Raenan Consultancy
Toronto, ON
- Full-time
Added 19 days ago
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Senior Business Systems Analyst
Co-operators
Moncton, NB · Guelph, ON · Toronto, ON · Mississauga, ON · Montreal, QC · Laval, QC · Regina, SK · Calgary, AB
- Full-time
Work Model: Hybrid (2 days in office)
Added 19 days ago
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Freelance IT Support Engineer
Techdravin
Calgary, AB
- Full-time
…from their existing laptops to new devices, ensuring that user data, settings, accounts, and required applications are configured…
Added 19 days ago
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DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Work Arrangement: Onsite, five days per week, Monday to Friday
Added 19 days ago
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Azure Business Data Analyst (Hybrid)
Cognizant
Toronto, ON
- Full-time
Business Data Analyst – Banking | Azure & Databricks
Added 19 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 19 days ago
SM
RQ00762 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Hours: 7.25 hours per day, 5 days per week
Added 19 days ago
SM
RQ00762 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Hours: 7.25 hours per day, 5 days per week
Added 19 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 19 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 19 days ago
SM
RQ00762 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Hours: 7.25 hours per day, 5 days per week
Added 19 days ago
LI
DataOps/Cloud Data Engineer
Lotus IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
This is a fully onsite position, five days per week, based at 595 Bay St., Toronto
Added 19 days ago
FV
Junior Database Administrator
Forum Ventures
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
Implement best practices for data integrity and reliability
Added 19 days ago
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Analyste Fonctionnel SAP | SAP Functional Analyst
Aston Carter
Montreal, QC
- $50 to $70 CAD / hour
- Contract
Poste sur site, 5 jours par semaine
Added 19 days ago
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Analyste Fonctionnel Workday
Highspring
Montreal, QC
- Contract
Prepare test scenarios, test cases, test data, and acceptance criteria.

Closed listing

Lyft

Data Scientist - Inference, Safety and Customer Care

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Sep 3, 2026
Posting language: English
Posted: Aug 4, 2026

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Added 12 hours ago
Data Scientist
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Original job description

Archived listing. The details below describe a past opening.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection.

As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make.

We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization.

The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like:

Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions.
Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact.
Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community.
Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage, and operational cost as we scale AI-powered support.

Responsibilities:

Inference & Measurement: Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance, and surface opportunities for improvement.
Modeling: Build, evaluate, and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle, from feature engineering to production deployment.
Optimization: Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience, and operational cost), and propose strategies to improve overall effectiveness.
Collaborate Cross-Functionally: Build strong relationships with partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling way that drives informed, data-driven decision-making.
Empowerment: Think strategically about how to scale and evolve data science capabilities within SCC, contributing to the long-term vision for how science drives platform outcomes.

Experience:

2+ years of industry experience in causal inference or data science with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or a PhD in a relevant field.
Strong knowledge of causal inference and experimental design.
Experience with uplift modeling / heterogeneous treatment effect (CATE) estimation.
Proven ability to apply statistics to unstructured problems and deliver measurable results.
Expertise in SQL and experience with large-scale data platforms.
Proficiency in Python and working within production coding environments.
Proven ability to communicate clearly and effectively to audiences of varying technical levels.
Excellent project management, communication, and collaboration skills.
Experience partnering with operational teams and support systems (customer care workflows, agent operations, or credit budget allocation)
Experience working with AI/LLM applications (LLM-powered agents, retrieval systems, or evaluation frameworks) is nice to have.

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

About employer

More about this job

Responsibilities

Design and implement causal inference frameworks and ML models to measure the impact of product launches and optimize concession budgets. Collaborate cross-functionally to provide strategic insights on quality-cost tradeoffs and drive data-driven decision-making for AI-powered support.

Requirements

Requires 2+ years of industry experience in causal inference or data science with a Master's or PhD in a quantitative field. Proficiency in SQL, Python, and experience with uplift modeling and large-scale data platforms is essential.

Skills

Causal Inference
Experimental Design
Uplift Modeling
CATE Estimation
SQL
Python
Causal ML
Statistical Modeling
Feature Engineering
Project Management
Cross-functional Collaboration
Data Analysis
LLM Evaluation
Quasi-experiments

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Causal Inference
Data Science
Machine Learning
SQL
Python
LLM
AI Agents
Experimental Design
Uplift Modeling
CATE
Quasi-experiments
Statistical Modeling
Customer Care
Operational Optimization
Retrieval Systems
Feature Engineering
Production Deployment
Data Platforms
Causal ML

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Hiring at a glance

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IT & data jobs in Canada

RQ00812 - Business Intelligence Specialist - Oracle - Senior

systems analyst

Senior Staff Data Engineer

Business Systems Analyst- Payments Modernization

Senior Business System Analyst -Data Migration

Senior Business Systems Analyst

Systems Administrator

Technical Business Systems Analyst – Wealth Management

IT Support Technician

database analyst

information systems business analyst

Senior Business Systems Analyst

Freelance IT Support Engineer

DataOps/Cloud Data Engineer

Azure Business Data Analyst (Hybrid)

RQ11576 – Data Ops/Cloud Data Engineer – Senior

RQ00762 – Systems Analyst – Senior

RQ00762 – Systems Analyst – Senior

RQ11576 – Data Ops/Cloud Data Engineer – Senior

RQ11576 – Data Ops/Cloud Data Engineer – Senior

RQ00762 – Systems Analyst – Senior

DataOps/Cloud Data Engineer

Junior Database Administrator

Analyste Fonctionnel SAP | SAP Functional Analyst

Analyste Fonctionnel Workday

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Advertised starting pay

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IT & data jobs in Canada