Data scientist jobs in Richmond Hill, ON and nearby

Within 25 km

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Added 1 month ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 2 months ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
…solutions, with an understanding of cloud technologies and data platforms. You will work closely with ML engineers, data scientists, and product teams to support the development and…
Added 2 months ago
SD
Data Scientist
Symbiotic Digital
Toronto, ON
- Contract
We are seeking a Senior Data Scientist to analyze complex
Added 2 months ago
BS
Sr. Data Scientist
B3 Systems
Toronto, ON
- Full-time
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the…
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Added 3 months ago
IC
Data Architect
ICES Central
Toronto, ON
- $110,000 to $140,000 CAD / year
- Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 4 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…while effectively coordinating with signal processing, clinical data, and product teams. The ideal candidate will have strong expertise in processes, pipelines, operations, QA, and writing…
Added 4 months ago
O
Machine Learning Scientist (Graduate/Postdoc Level) - Contract
Oncoustics
Toronto, Ontario
- Contract
Adapt and optimize existing deep learning models for challenging data cases
Added 4 months ago
O
Data Scientist/Machine Learning Scientist in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…players. We are looking to hire an experienced ML Engineer/Data Scientist to join our team with relevant academic experience and industry experience. A successful candidate will be able to…
Added 4 months ago
EN
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks
Toronto, Ontario
- Full-time
Principal Data Scientist – (Gen AI, Machine Learning)
Added 4 months ago
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Senior Machine Learning Engineer
EvenUp
Toronto, Ontario
- $196,000 to $265,000 CAD / year
- Full-time
…most complex legal document challenges requires expertise in data quality, robust model development, and ongoing…
Added 4 months ago
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Staff Machine Learning Engineer
EvenUp
Toronto, Ontario
- $212,000 to $301,000 CAD / year
- Full-time
…across a broad problem space, turning raw legal and medical data into production systems that improve outcomes for personal-injury…
Added 4 months ago
CA
Founding Data Scientist - Chorus (Toronto, Queen & Ossington / 68 Claremont St)
Chorus AI
Toronto, Ontario
- $150,000 to $170,000 CAD / year
- Full-time
This is our first dedicated data science hire.
Added 3 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time
Added 5 months ago
BA
Machine Learning Engineer - Enterprise
Boson AI
Toronto, Ontario
- $150,000 to $400,000 CAD / year
- Full-time
…perform complex tasks autonomously, interacting with diverse data sources and tools, as we collectively move towards building truly cohesive and powerful AI capabilities for our…
Added 5 months ago
C
Data Architect (PostgreSQL + Adabas Integration) (contract)
Capgemini
Toronto, Ontario
- Contract
Seeking a Data Architect to define data architecture and build data models supporting Pega integration, leveraging Adabas to PostgreSQL replication.
Added 6 months ago
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Machine Learning Engineer, Detection (TOR)
Doppel
Toronto, Ontario
- Full-time
Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
Added 4 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, ON
- Full-time
Added 6 months ago
A
Senior GenAI Data Scientist (m/f/d)
AutoScout24
Toronto, Ontario
- $180,000 to $200,000 CAD / year
- Full-time
Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products, designing clean APIs, robust pipelines, and…
Added 4 months ago
Machine Learning Engineer III, Data
ACV
Toronto, Ontario
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 4 months ago
Machine Learning Engineer IV, Data
ACV
Toronto, Ontario
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 4 months ago
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Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – Data Architect to drive the technical vision and architectural
Added 4 months ago
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Principal Software Developer – AI Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – AI Data Architect to drive the technical vision and architectural strategy of Caseware’s AI-Ready Data Platform. This role will define the…
Added 5 months ago
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Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Move Your Career Forward with DAC a Senior Data Scientist
Added 5 months ago
IF
Data Scientist II
Intact FC
Toronto, Ontario
- Full-time
We’re looking for Data Scientist II to join our growing teams. You’ll build and deliver data science solutions end-to-end, framing problems with partners, developing and validating models…

DAC

Senior Data Scientist

Toronto, ON, Canada

The projected compensation range for this position is $90,000 to $130,000. · Full-time

Apply on dacgroup.wd10.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The projected compensation range for this position is $90,000 to $130,000.
Job type: Full-time
Experience: 4-5 years of hands-on experience in applied statistics, data science, or quantitative research
Posting language: English
Posted: Jun 2, 2026

Original job description

Move Your Career Forward with DAC a Senior Data Scientist

Who We Are

We are DAC - a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint - from global audiences to individual store locations.

Role Summary

We are seeking a proactive Senior Data Scientist, who will drive the development and implementation of advanced statistical methodologies while maintaining hands-on involvement in model development. This role requires a strategic thinker who can independently develop innovative analytical frameworks, lead client consultations, and contribute to new business development - all while remaining deeply engaged in the technical execution of complex statistical analyses including Marketing Mix Modeling (MMM) and beyond.

The ideal candidate will bring strong statistical expertise with the ability to apply rigorous analytical methods to diverse business challenges. You'll be expected to be both a thought leader and a practitioner, setting methodological standards while personally delivering high-impact analyses.

Key Responsibilities

Strategic Leadership & Innovation
- Develop and champion novel statistical methodologies and analytical frameworks tailored to client needs
- Lead client consultations as the primary data science expert, translating complex statistical concepts into strategic business recommendations
- Drive new business development by contributing to pitches, proposals, and thought leadership initiatives
- Establish best practices for statistical rigor, model validation, and analytical quality across the organization
- Proactively identify opportunities to apply advanced analytics to solve emerging business challenges
Hands-On Technical Delivery
- Personally build and deploy sophisticated statistical models including MMM, causal inference models, time series forecasting, and experimental design frameworks
- Lead end-to-end model development from hypothesis formation through data preparation, model building, validation, and deployment
- Conduct advanced statistical analyses using techniques such as hierarchical Bayesian modeling, machine learning, and econometric methods
- Design and analyze experiments including A/B tests, geo-lift studies, and synthetic control methods
- Develop custom analytical solutions that go beyond standard approaches to address unique client challenges
Client & Stakeholder Management
- Present findings and recommendations directly to C-suite executives and senior stakeholders
- Build trusted advisor relationships with clients through strategic engagement and thought partnership
- Translate technical insights into compelling narratives that drive strategic decision-making
- Lead cross-functional collaboration with media, strategy, and creative teams to ensure analytical insights are actionable
Technical Infrastructure & Innovation
- Architect scalable analytical solutions using modern data science tools and cloud platforms
- Drive automation initiatives to increase efficiency and reproducibility of analyses
- Evaluate and implement emerging statistical techniques and technologies
- Explore AI and GenAI applications to enhance analytical capabilities and client solutions
- Mentor team members on advanced statistical concepts and methodological approaches

Required Qualifications

Education & Experience
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field
- 4-5 years of hands-on experience in applied statistics, data science, or quantitative research
- Demonstrated track record of developing and implementing analytical approaches to business problems
- Experience presenting to senior stakeholders and executive audiences
Technical Expertise
- Expert-level proficiency in statistical programming (Python or R) with ability to write production-quality code
- Deep understanding of statistical theory including causal inference, experimental design, time series analysis, and Bayesian methods
- Proven experience building complex models from scratch, not just using pre-built packages
- Strong SQL skills for data extraction and manipulation
- Experience with version control (Git) and collaborative development practices
Leadership & Business Acumen
- Strong initiative with ability to identify opportunities and drive projects independently
- Exceptional communication skills with ability to influence and educate stakeholders
- Business development experience including proposal writing and pitch presentations
- Strategic thinking with ability to connect analytical insights to business outcomes
- Intellectual curiosity and drive to continuously expand methodological toolkit

Preferred Qualifications

Experience with Snowflake or similar cloud data warehouses
Background in marketing analytics, MMM, or media measurement
Experience with causal ML methods (Double ML, causal forests, etc.)
Enthusiasm for AI and GenAI applications in data science
Experience building and mentoring data science teams
Familiarity with marketing channels and performance metrics

What You’ll Get

Professional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.
Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.
Competitive Benefits:
- Competitive salary and comprehensive health benefits.
- Generous PTO, wellness initiatives and parental leave.
- Retirement saving plans.
- Opportunities for continued learning and professional development.
- A supportive, collaborative, and casual work environment.

How We Work

This role requires three in-office days per week. Remote work is not available for this position.

This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, state, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to tacquisition@dacgroup.com.

At DAC we celebrate your contributions, provide you with opportunities, and support your total well-being. Our offerings include health, vision, dental, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and employee assistance support. Full-time employees are eligible to participate in the DAC benefit programs.

Salary at DAC is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $90,000 to $130,000. The estimate displayed represents the typical salary range for this position and is just one component of DAC’s total compensation package for employees.

Apply on dacgroup.wd10.myworkdayjobs.com About employer

More about this job

Responsibilities

Develop and implement advanced statistical methodologies and analytical frameworks, specifically focusing on Marketing Mix Modeling and causal inference. Lead client consultations and collaborate with cross-functional teams to translate technical insights into strategic business recommendations.

Requirements

Requires a degree in a quantitative field and 4-5 years of experience in applied statistics or data science. Must possess expert-level proficiency in Python or R, strong SQL skills, and a deep understanding of statistical theory.

Skills

Python
R
SQL
Marketing Mix Modeling
Causal Inference
Time Series Forecasting
Experimental Design
Bayesian Modeling
Machine Learning
Econometric Methods
Git
Snowflake
A/B Testing
Geo-lift Studies
Synthetic Control Methods
Strategic Leadership

Benefits

Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
Disability Insurance
Financial Benefits
Retirement Saving Plans
Paid Leave
Professional Development
Tuition Assistance
Work-life Programs
Employee Assistance Support
Wellness Initiatives
Parental Leave
Generous PTO

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Marketing Mix Modeling
MMM
Causal Inference
Bayesian Modeling
Time Series Analysis
Econometrics
Python
R
SQL
Git
Snowflake
A/B Testing
Geo-lift
Synthetic Control
GenAI
AI
Performance Media
Marketing Analytics
Media Measurement
Double ML
Causal Forests
Cloud Platforms
Data Extraction
Model Validation
Strategic Consulting
Business Development
Quantitative Research
Data Analytics
Performance Marketing

Seniority

Senior

Perks

Generous paid time off
Parental leave
Retirement plan
Tuition support
Wellness program

Tools

Python
R
SQL
Git
Snowflake

Languages

English

Fields of study

Statistics
Mathematics
Economics
Operations Research
Computer Science

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Data scientist jobs in Richmond Hill, ON and nearby