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Applied Data Science Jobs in Ontario (NOW HIRING)

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

Manage massive textual data sets. * Build advanced LLM-based features, including reasoning ... Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine ...

Spgi

Senior Data Scientist

Toronto, ON

CA$90K - CA$160K/yr

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ...

Spgi

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ...

S&P Global

Senior Data Scientist

Toronto, ON

CA$90K - CA$160K/yr

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

... Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures--is an ... The Data Engineer supports analytics and omnichannel initiatives by designing, building, and ...

Td

Applied Machine Learning Scientist II

Toronto, ON

CA$125K - CA$154K/yr

We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In ... data science, model evaluation, or related fields. Nice to Have Experience working in financial ...

TELUS

Staff Applied AI/ML Scientist

Toronto, ON · On-site

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...

TELUS

Staff Applied AI/ML Scientist

Ottawa, ON · On-site

As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data ...

AXIS Capital

Lead Applied Scientist

London, ON · On-site

The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery ... Strong programming ability in Python and fluency with the modern AI and data science tooling ...

HireValues

Engineer Senior

Toronto, ON · On-site

Mathematics, Computer Science and/or Data Analytics degree 3-5+ years of applied data engineering experience (Data & Analytics education an asset) Expertise and knowledge of SQL, Python, Azure Data ...

Sanofi EU

Clinical Data Scientist

Brampton, ON

CA$108K - CA$157K/yr

The Applied RWD Scientist serves as a methodological authority and RWD data domain expert, ensuring best-in-class data selection and optimal data usage to generating reliable insights or evidence.

Sanofi EU

Clinical Data Scientist

Unionville, ON

CA$108K - CA$157K/yr

The Applied RWD Scientist serves as a methodological authority and RWD data domain expert, ensuring best-in-class data selection and optimal data usage to generating reliable insights or evidence.

Sanofi EU

Clinical Data Scientist

Mississauga, ON

CA$108K - CA$157K/yr

The Applied RWD Scientist serves as a methodological authority and RWD data domain expert, ensuring best-in-class data selection and optimal data usage to generating reliable insights or evidence.

Sanofi EU

Clinical Data Scientist

Toronto, ON

CA$108K - CA$157K/yr

The Applied RWD Scientist serves as a methodological authority and RWD data domain expert, ensuring best-in-class data selection and optimal data usage to generating reliable insights or evidence.

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Showing results 41-60

All JobsApplied Data Science JobsApplied Data Science Jobs in Ontario

Applied Data Science information

See Ontario salary details

$26K

$147.2K

$224K

How much do applied data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for applied data science in Ontario is $147,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $183,000.00 per year, depending on experience, location, and employer.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What are popular job titles related to Applied Data Science jobs in Ontario?

For Applied Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Applied Data Science jobs in Ontario look for?

The top searched job categories for Applied Data Science jobs in Ontario are:

Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,249 per year, or $70.8 per hour.

Applied Scientist

Dialpad

Kitchener, ON • On-site, Remote

Full-time

Posted 28 days ago

Job description

About Dialpad
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.

Being a Dialer
At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role
As an Applied Scientist at Dialpad, you'll be an integral part of our AI team, conducting R&D to power the next generation of autonomous voice agents and delivering features for transcribed voice and chat message data in the business communications domain. We have several research themes, including developing multi-modal, real-time agentic systems that can listen, reason, and take action during live customer interactions. We are also developing real-time knowledge retrieval models to power live coaching features for customer support and sales agents. Beyond the technical skills, we are a team that values collaboration, continuous learning, and the application of diverse perspectives to solve complex problems. Collaboration will be key as you work alongside our engineering, design, and product teams to build groundbreaking applications.

If you're passionate about language, AI, and contributing to a team that's changing the face of business communications, you'll find yourself right at home with us.

This position reports to the Manager of the NLP team and has the opportunity to be based in our Kitchener, ON, office.

What you'll do

  • Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning algorithms for Dialpad's products.
  • Conduct rigorous evaluation and monitoring of model performances and troubleshoot issues with a keen understanding of the resultant business impacts.
  • Manage massive textual data sets.
  • Build advanced LLM-based features, including reasoning, multilingual and multimodal processing, and agents.
  • Collaborate with cross-functional teams, including engineering, product, and design, to effectively deploy and scale models and algorithms in production.
  • Submit papers to top-tier academic conferences and journals and contribute to the broader scientific community by reviewing submissions.

Skills you'll bring

  • Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields.
  • 2+ years of NLP industry experience for Master's degree holders or 1+ years for PhD degree holders.
  • Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and technologies.
  • A broad understanding of current LLM model architectures and techniques for tuning and optimizing LLMs.
  • Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.
  • Excellent communication and collaboration skills to effectively work in a multi-disciplinary team.
  • Familiarity with version control tools like Git for collaborative projects.

For exceptional talent based in Ontario, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Ontario role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Ontario Salary Range
$145,500—$172,500 CAD

Why Join Dialpad

  • Work at the center of the AI transformation in business communications
  • Build and ship agentic AI products that are redefining how companies operate
  • Join a team where AI amplifies every employee's impact
  • Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.