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Data Science Associate Jobs in Windsor, ON (NOW HIRING)

Rock Connections

Data Scientist

Windsor, ON

Mentor and train associate data scientists Aboutyou * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

Windsor Salt

FSQR Supervisor

Windsor, ON · On-site

CA$72K - CA$120K/yr

Implementation of FSQR department associate safety suggestions. * Review of COAs and COCs for ... Bachelor's degree in Food Science, Chemistry, Engineering, or other related science field is ...

All JobsData Science Associate JobsData Science Associate Jobs in Windsor, ON

Data Science Associate information

See Windsor, ON salary details

$10

$45

$96

How much do data science associate jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science associate in Windsor, ON is $45.08, according to ZipRecruiter salary data. Most workers in this role earn between $22.81 and $61.08 per hour, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Windsor, ON?

The most popular types of Data Science jobs in Windsor, ON are:

What job categories do people searching Data Science Associate jobs in Windsor, ON look for?

The top searched job categories for Data Science Associate jobs in Windsor, ON are:

What cities near Windsor, ON are hiring for Data Science Associate jobs?

Cities near Windsor, ON with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Windsor, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,759 per year, or $45.1 per hour.

Data Scientist

Rock Connections

Windsor, ON

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

About therole

  • Analyze, manipulate and process large sets of data

  • Develop predictive/machine learning models from large sets of structured and unstructured data

  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

  • Apply feature selection algorithms to models predicting outcomes of interest

  • Apply sampling techniques to determine groups to be surveyed

  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance

  • Create graphs, charts or other visualizations to convey the results of data analysis

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders

  • Identify business problems or leader objectives that can be addressed through data analysis

  • Identify relationships and trends or any factors that could affect the results of research

  • Identify and propose solutions to business problems using the results of data analysis

  • Test, validate and reformulate models to ensure accurate prediction of outcomes of interest

  • Write new functions or applications to conduct analyses

  • Partner with machine learning engineers on the deployment of applicable models for business projects

  • Communicate analyses, conclusions and solutions clearly to all audiences

  • Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager

  • Advise project teams on application improvements that will result in enhanced predictive and prescriptive models

  • Develop and evangelize best practices for statistical or behavioral models

  • Drive the collection of new data and the refinement of existing data sources

  • Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses

  • Mentor and train associate data scientists

Aboutyou

  • 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP

  • 3 years of experience with statistical and data mining tools and methods

  • 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)

  • 3 years of experience working with SQL

  • 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)

  • 3 years of experience with statistical packages

  • 3 years of experience providing predictive and prescriptive analytics in a business setting

  • Master's degree in mathematics, statistics, computer science or a related field or equivalent experience

  • Advanced understanding of data visualization libraries

  • Advanced understanding of statistical methodologies for modeling and business analytics

Whatyou'llget

Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team membersperksand health benefits that will help you have peace of mind. Simply put:We'vegot your back. Check out our full list ofBenefits and Perks.

Aboutus

Rocket Innovation Studio (RIS)launched in 2019 and has gone on to make its mark in the Canadian fintech industry. Headquartered at 156 Chatham Street in Windsor, Ontario, the company renovated the historic building which began as an auto showroom and garage before becoming a furniture store, the Old Fish Market, the Coach and Horses Pub, and the Loop.

With the backing of Rocket Companies, RISis able tocapitalize on the creativity and growth of a startup environment with the stability and enterprise experience of a mature company. At RIS, Canadian talentis able tocollaborate, design, build, test and return a full range of custom IT solutions. RIS is leading the charge to make Windsor Canada's tech hub.Apply today to join a team that offers career growth, amazingbenefitsand the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, atCareers@Rocket.com.

Disclaimer

Thispostingis for an existing vacancy for aData Scientistat Rocket Innovation Studio. The compensation for this position is $102,500-$154,000.The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, retirement plan, and paid time off. More informationregardingthese benefits and others can be foundhere.The informationregardingcompensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion,deemsappropriate. The Company maydetermineduring its review of the proposed compensation and benefits provided for this position, that the compensation and benefits for suchpositionshould be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.

Our Talent Acquisitionteam uses artificial intelligence toassistinscreening, assessing, or selecting applicants. Our hiring process is never completely automated and uses AI in conjunction with our recruiting and talent acquisitionprofessionals.

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