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Data Science Assistant Jobs in Ontario (NOW HIRING)

You are known as a strong and efficient IC Data Engineer, with the ability to assist in designing ... You will work closely with the Data Engineering team and Data Science partners to build and operate ...

... Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ... • Assist in investigating accidents/incidents • Refrain from engaging in any prank, contest ...

CA$30/hr

Under the direction of the immediate supervisor, Kiwon Lee, the Learning Assistants may perform ... Data Science in Python/R: Preferably those with project experience in each language. * AI/Society:

CA$30/hr

Under the direction of the immediate supervisor, Kiwon Lee, the Learning Assistants may perform ... Data Science in Python/R: Preferably those with project experience in each language. * AI/Society:

Data Lineage Support * Assist in documenting data lineage by reviewing SQL, dashboards, and data ... Education / Training * Degree or diploma in information management, business, data science ...

Work with the global team to identify opportunities for alternative solutions * Assist and support ... Bachelor's degree in computer science, data science or a related field. 2-4+ years of experience ...

Work with the global team to identify opportunities for alternative solutions * Assist and support ... Bachelor's degree in computer science, data science or a related field. 2-4+ years of experience ...

Data Developer II

Windsor, ON · On-site

CA$35.06 - CA$46/hr

Bachelor's or graduate degree in computer engineering, mathematics, data science, or related ... assist you based on your individual needs. We offer you Global Excel offers more than a position;

Showing results 21-40

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Ontario?

The most popular types of Data Science jobs in Ontario are:

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

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

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

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

Infographic showing various Data Science Assistant job openings in Ontario as of August 2026, with employment types broken down into 5% Internship, 78% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Engineer (Databricks)

Fluent, LLC

Toronto, ON • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago


Job description

Fluent is building the next generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI first network of advertisers and publishers to achieve a common objective, elevating relevancy in E-commerce for everyday shoppers.

As a Data Engineer on Fluent's Data Engineering team, you will bring your Databricks development expertise to build the data products that power Fluent's Audience Solutions business: the syndicated and custom consumer segments we build, model, and deliver to leading data marketplaces. These data products translate raw survey and behavioral signals into declared and modeled audiences that our commercial teams and clients rely on every day.

You are known as a strong and efficient IC Data Engineer, with the ability to assist in designing engineering solutions, data modeling, and building architecture. You are familiar with the Databricks Lakehouse and how to work backwards from translating business requirements into engineering solutions. You are considered an expert in Python, SQL, and Spark.

You will work closely with the Data Engineering team and Data Science partners to build and operate high-impact audience data solutions. This role is fully Remote in the United States or Canada, with occasional travel to NYC.

What You'll Do:

  • Majority of the role will be data engineering: tables, views, jobs/pipelines, and orchestration within the Databricks environment, following Fluent's data model and architecture best practices. You will help elevate standards across testing, code repository, ci/cd, and naming conventions.
  • Build and maintain pipelines that create and deliver syndicated and custom audience segments, spanning declared (survey-based) and modeled (ML driven) methodologies.
  • Support delivery and performance reporting of finished segments on distribution marketplaces such as LiveRamp, TruAudience (TransUnion), and Lotame.
  • Investigate and leverage Databricks' latest capabilities for real-time processing and operational workloads, such as Spark structured Streaming and Lakeflow Declarative Pipelines.
  • Contribute to and maintain a high-quality codebase with comprehensive data observability, metadata standards, and best practices, including compliant handling of consumer data in line with Fluent's data privacy standards.
  • Apply AI-assisted development practices, using tools such as Claude Code, to accelerate pipeline development, testing, and documentation, while upholding Fluent's engineering and data quality standards.
  • Partner with the Data Engineering team, Data Science, and commercial stakeholders to define business requests and translate them into functional requirements.
  • Keep track of emerging tech and trends within the Databricks ecosystem.
  • Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices.
  • Empower internal teams by providing communication on architecture, execution plans, releases, and training.

Requirements

  • Bachelor's or Master's degree in computer science or related field.
  • 4+ years of industry experience in Data Engineering, including expertise in SQL, Python, Spark, and distributed processing.
  • 2+ years of experience with Databricks environment leveraging Data Engineering and Data Warehousing features such as Jobs & Workflows, Notebooks, Unity Catalog, and Delta Lake.
  • Strong foundation in database design, data structures, and algorithms.
  • Experience using AI coding assistants (e.g., Claude Code, GitHub Copilot) as part of a modern engineering workflow.
  • Nice to have: familiarity with Databricks emerging technologies and latest offerings such as: Genie, Lakebase, AI/BI Dashboards, Databricks Apps.
  • Nice to have: Prior experience in digital marketing, ad-tech, media/advertising, or related field. In addition, familiarity with audience, identity, or consumer segmentation data, and experience with data marketplaces such as LiveRamp, TransUnion, and/or Lotame

About Us

Fluent, Inc (NASDAQ: FLNT) is a leader in customer acquisition, leveraging its direct response expertise to drive engagement and power discovery for leading brands. Backed by proprietary data science, Fluent connects data-rich consumers to targeted offers, allowing them to find new opportunities, content, and products that enhance their lives. Established in 2010, and headquartered in New York City, Fluent's team of experts have invested over $1B in media across its digital media portfolio to build a global audience available through 500+ DSPs, DMPs, online publishers, and programmatic platforms. For more information, visit fluentco.com.

Benefits

At Fluent, we like what we do and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager keeps the calendar stocked with activity-filled events. When we're not eating, working out, or planning parties, Fluent folks can be found participating in recreational sports leagues, networking with She Runs It, and bonding across teams during quarterly outings to baseball games, fancy dinners, and pizza-making classes. And we have all the practical benefits, too...

  • Competitive compensation
  • Ample career and professional growth opportunities
  • New Headquarters with an open floor plan to drive collaboration
  • Health, dental, and vision insurance
  • Pre-tax savings plans and transit/parking programs
  • 401K with competitive employer match
  • Volunteer and philanthropic activities throughout the year
  • Educational and social events
  • The amazing opportunity to work for a high-flying performance marketing company!

Salary Range: $80,000 to $90,000 CAD - The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. This is a new position, not a backfill.

Fluent participates in the E-Verify Program. As a participating employer, Fluent, LLC will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Fluent, LLC follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC). The OSC enforces the anti-discrimination provision ( 274B) of the Immigration and Nationality Act (INA), 8 U.S.C. 1324b.