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

Perseus Group

Director, Support

Waterloo, ON · On-site +1

CA$85K - CA$104K/yr

... data protection practices. Education * Diploma or degree in Computer Science, Information ... Work Experience (Entry-Level Friendly) * 0-2 years of professional experience supporting databases ...

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Cambridge, ON

Entry Level Data Science information

See Cambridge, ON salary details

$18.9K

$63.7K

$148.8K

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

As of Jul 28, 2026, the average yearly pay for entry level data science in Cambridge, ON is $63,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,948.00 and $75,563.00 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 cities near Cambridge, ON are hiring for Entry Level Data Science jobs? Cities near Cambridge, ON with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Cambridge, 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 $63,693 per year, or $30.6 per hour.

Specialist, Bus Process Improvement

Yazaki

Kitchener, ON

Other

Posted 14 days ago

Job description

Yazaki is a global leader in the research, development, and delivery of vehicle power and data solutions.

Yazaki works with virtually every major auto manufacturer globally, and we've strived to maintain strategic and stable growth throughout our 84-year history. Today, we're looking for energetic people with the potential to perform and the ability to strengthen - and thrive in - the positive work environment we pride ourselves on.


Location: Kitchener, Canada  

POSITION SUMMARY

We are seeking an enthusiastic and motivated Entry Level Power Platform & Business Applications Specialist to join our team. In this role, you will support our digital transformation journey by assisting in the development, rollout, and maintenance of custom applications and automated workflows. Your work will directly help streamline warehouse workflows, reduce manual data entry, and support error-proofing initiatives across our logistics and distribution center operations.

This is an excellent entry-level opportunity for someone with foundational knowledge of the Microsoft ecosystem who is eager to grow their technical skills, collaborate with frontline operations, and build practical business applications in a fast-paced environment.

 

 

PRIMARY RESPONSIBILITIES & AUTHORITIES

 

App Support & Optimization: Assist in building and modifying basic Canvas apps in Power Apps to digitize paper forms, track warehouse tasks, and simplify data entry for floor operations.

Workflow Automation: Create and maintain foundational automated flows using Power Automate to handle system alerts, sync document libraries, and eliminate routine clerical steps.

Reporting Assistance: Help build and update basic data visualizations and operational dashboards in Power BI to track key metrics and performance benchmarks.

SharePoint Maintenance: Set up and manage standard SharePoint lists, libraries, and custom views to serve as the structured backend data sources for team applications.

               Process Digitization: Work alongside operational staff to map existing paper-based or manual steps and find opportunities to apply basic Microsoft ecosystem solutions.

Data Manipulation: Utilize Excel (including clean-up formulas and Power Query) to organize, format, and audit operational data inputs.

Troubleshooting & Training: Provide first-line support to warehouse staff using our digital tools, document app usage procedures, and assist in onboarding end-users.

REQUIREMENTS

Degree Requirements:

Bachelor's Degree or College Diploma in Computer Science, Information Technology, Business Administration, Supply Chain Management, Operations Research, or equivalent practical experience.

Certification Requirements:

None required. Microsoft certifications (e.g., PL-900: Microsoft Power Platform Fundamentals) or continuous improvement training (Lean / Six Sigma Yellow Belt) are an asset but not mandatory.

Previous Experience:

 

Required: 0-2 years of experience in a technical support, business analysis, data entry, or operational role. Strong foundational familiarity with standard data logic and workflows.

Preferred: Prior exposure to warehousing, logistics, or distribution center environments. Experience building basic forms, automated notifications, or tracking tools is highly valued.

Travel Requirements:

Not frequent, only as required.

Language:

English (Professional working proficiency required for gathering user feedback, technical troubleshooting, and documentation).

Spanish is an asset.

Application/Software:

Microsoft Power Apps (Canvas), Power Automate, Power BI, SharePoint Online, and advanced Microsoft Excel (formulas, data formatting).

On Call Requirements:

As necessary to support only critical work stoppage needs.

Physical Requirements:

Office environment, but requires regular movement throughout the distribution center floor to test applications, audit workflows, and provide hands-on training to operators. Must comply with all standard facility PPE/safety protocols.

Yazaki North America is committed to providing equal employment opportunities for all persons regardless of race, color, religion, sex, age, marital status, national origin, disability, handicap, veteran status, or other legally protected status or characteristic. Equal opportunity extends to all aspects of the employment relationship. Yazaki North America complies with federal and state equal employment opportunity laws and strives to keep the workplace free from all forms of harassment.

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