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

... project manager * Advise project teams on application improvements that will result in enhanced ... Master's degree in mathematics, statistics, computer science or a related field or equivalent ...

New

Data Developer II

Windsor, ON · On-site

CA$35.06 - CA$46/hr

Utilize cloud-native data services, including Azure Storage, to optimize data management and ... Bachelor's or graduate degree in computer engineering, mathematics, data science, or related ...

... scientific processes and results. Project Support * Provide statistical expertise and guidance ... Work with data management team to ensure data captured incorporates and corresponds to project ...

VP, Brand Strategy

Windsor, ON · On-site +1

CA$200K - CA$240K/yr

As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to ...

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Data Science Manager information

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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

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

Infographic showing various Data Science Manager job openings in Windsor, ON as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


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.