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Entry Level Data Science Jobs in Ottawa, ON (NOW HIRING)

Entry Level Data Science information

See Ottawa, ON salary details

$19.1K

$64.2K

$150K

How much do entry level data science jobs pay per year?

As of Jul 31, 2026, the average yearly pay for entry level data science in Ottawa, ON is $64,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,246.00 and $76,209.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are popular job titles related to Entry Level Data Science jobs in Ottawa, ON? For Entry Level Data Science jobs in Ottawa, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Ottawa, ON look for? The top searched job categories for Entry Level Data Science jobs in Ottawa, ON are:
What cities near Ottawa, ON are hiring for Entry Level Data Science jobs? Cities near Ottawa, ON with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Ottawa, ON as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,237 per year, or $30.9 per hour.

Registered Practical Nurse

Hamilton Health Sciences

Hamilton, ON • On-site

Full-time

Re-posted 18 days ago


Job description

As a member of the healthcare team, the Registered Practical Nurse (RPN) - Reporting to the JCC Manager Flow and Operations, the RPN responsibilities include but are not limited to: working in the clinical area with newly diagnosed oncology patients.  This role will provide psychosocial support to the patients and families as they start their illness trajectory.  The RPN in the clinics will be completing a physical assessment of patients inclusive of interventions such as dressing changes, assisting with biopsies and other hands on activities as required such as injections and drain care.  In addition, the RPN will work within the referral office, and receives patient referrals for the JCC; evaluates and triages each referral to determine placement with the appropriate clinical team; schedules patient appointments; reviews, analyzes and documents referral information including cancer related health histories, demographic data, and clinical investigation reports. This role will also work within the outpatient oncology clinics supporting the interprofessional team within the scope of the RPN (i.e. Health history, assessments, best possible medication history, care coordination and psychosocial support to patients and families). The RPN works collaboratively with the interprofessional teams inclusive of Registered Nurses, Specialized Oncology Nurses, Advanced Practice Nurses, Disease Site Team Coordinators, physicians, allied health and with the New Patient Registration Clerks.

1. Current certificate of registration with the College of Nurses of Ontario as a Registered Practical Nurse and eligible to practice as a RPN in Ontario.
2. Minimum 3-5 years nursing experience in a hospital/outpatient setting.
3. Recent (within 2 years) Oncology nursing experience (outpatient surgical setting preferred)
4. Membership with Canadian Association of Nurses in Oncology considered an asset
5. Current certificates - Physical Assessment and Health History Taking (or equivalent) Recent (within 2 years) patient assessment course or related experience demonstrating competent patient assessment skills and ability in health history taking.
6. Demonstrates critical thinking and decision making in assessment and problem identification and care planning. Demonstrated skill and ability in management and triage of patient referrals.
7. Demonstrated ability to function within an interprofessional team, including nursing collaboration with RNs and other members of the healthcare team.
8. Demonstrated ability to function in a fast paced and at times complex environment.
9. Demonstrated ability to communicate (written and verbal) effectively with patients, families, and other members of the healthcare team.
10. Demonstrated ability to assess concurrent demands, set priorities, organize work, and maintain accuracy and concentration in periods of high activity in response to patient and team needs.
11. Demonstrates ongoing personal professional education and development
12.Completion of an entry level approved foundational course specializing in oncology, or willingness to enroll within first 30 days.
13.Demonstrates computer proficiency and experience with EPIC (registration and scheduling), MOSAIQ, Clinical Connect, MS Office and Teletracking.