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Weekend Associate Data Scientist Jobs in Toronto, ON

BMO Capital Markets

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

  • Medical

  • Life

  • Retirement

As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

  • Retirement

  • PTO

... weekend earlier during the summer months! 17 Paid Days Off (in addition to 13 Personal Days) This ... We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is ...

New

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

  • Medical

  • Life

  • Retirement

You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric solutions that empower business decisions. Our Team The Data Cognition Team (DCT) at BMO Capital ...

Scotiabank

Associate Data Engineer

Toronto, ON

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

Td

Data Scientist - TD Asset Management

Toronto, ON

CA$105K - CA$145K/yr

... Portfolio Managers, Associate Portfolio Managers, Traders and Analysts. Versatile job ... Help to grow a team of data scientists and software engineers * Partner closely with portfolio ...

Lyft

Data Engineer

Toronto, ON

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

We handle critical infrastructure that powers both human associates and AI agents to make riders ... Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field ...

SNC-Lavalin

Data Architect

Toronto, ON

Bachelor's degree in computer science, data science, engineering, or related field. * At least 10 ... Azure AI Engineer Associate. * Azure Administrator Associate. * Azure DevOps Engineer Expert.

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All JobsAssociate Data Scientist JobsWeekend Associate Data Scientist JobsWeekend Associate Data Scientist Jobs in Toronto, ON

Weekend Associate Data Scientist information

What is the difference between Weekend Associate Data Scientist vs Weekend Data Analyst?

AspectWeekend Associate Data ScientistWeekend Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Data Analysis, Statistics, or related field
Work EnvironmentTech companies, research firms, or data-driven industriesBusiness, marketing, or retail sectors
Employer & Industry UsageUsed in organizations focusing on advanced data modeling and machine learningCommon in roles involving data reporting and basic analysis
Search & Comparison IntentLooking for roles involving data science tasks on weekendsSeeking weekend data analysis positions

The Weekend Associate Data Scientist typically requires advanced education in data science and involves complex modeling and machine learning tasks. In contrast, the Weekend Data Analyst focuses on data reporting and basic analysis. Both roles are often found in data-driven industries but differ in technical complexity and responsibilities.

Weekend Associate Data Scientist jobs near you

Associate Data Scientist (Canada)

PointClickCare

Mississauga, ON • Hybrid

Full-time

Retirement, PTO

Posted 3 days ago

New

Job description

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that's founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. 

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare - so it doesn't just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.


**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Position Location:

Hybrid, Mississauga, ON (preferred) or Remote, Canada

Position Summary:

We are looking for an Associate Data Scientist to join our Corporate Data Office department. The position title will depend on qualifications and experience and may be a Data Analyst, Associate Data Scientist, or Data Scientist.  The position is primarily aimed at population health reporting for our Convener clients, which typically include state agencies, hospital associations, and data exchange entities.  The Associate Data Scientist will be responsible for using real-time and historical healthcare data to report on metrics and trends in a variety of areas such as acute care utilization, conditions and diagnoses, facility onboarding, data quality, platform user metrics and engagement, platform notifications, and related functionality. The Data Scientist will prepare, analyze, and review healthcare data; visualize data, interpret results, and provide recommendations; and manage relationships with our internal and external partners.

In addition, the Data Scientist may also extract data, conduct analyses, visualize data, and present findings and recommendations to other external customers or internal departments such as Product, Professional Services, Customer Success, Sales, Marketing, or other areas.

Key Responsibilities:
  • Extract data to build metrics or create/update Tableau dashboards to track success toward company, department, and customer KPIs
  • Share insights with customers regarding drivers of success or areas of opportunity
  • Research new ideas to help prioritize areas of focus
  • Consult with internal and external customers to develop new dashboards, metrics, KPIs, outcomes evaluation, or ROI
  • Respond to ad hoc analytic requests from internal and external customers
  • Understand and use the data warehouse and relational databases
  • Ensure accurate quality of deliverables by participating in peer review
Who you'll work with:
  • The Associate Data Scientist will work closely with other members of our Data Science department as well as many teams throughout the organization such as Market Directors, Solutions Design, Customer Success, Sales, Marketing, Product, Professional Services, and more.
Required Skills & Experience:
  • Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science.  Master's degree preferred.
  • 2-7 years of experience related to analytics work or equivalent combination of education and experience
  • Previous healthcare related industry experience a plus
  • Experience with data manipulation tools such as Python; data visualization tools such as Tableau; and data extraction via querying languages (SQL)
  • Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint
  • Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision
  • Excellent verbal and written communication skills
  • Strong analysis skills
  • Strong attention to detail
  • Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad hoc data mining purposes.
$90,000 - $100,000 a year

At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $90,000 - $100,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process

#LI-TW1
#LI-Hybrid

PointClickCare Benefits & Perks:

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition ... and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever's Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare's human resources team: [email protected] 

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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