ZipRecruiter

Log In

2

Entry Level Data Science Jobs in Canada, KS (NOW HIRING)

AECOM

Environmental Engineering

Calgary, AB · On-site

Environmental Scientist/Engineer (Contaminated Sites) for an entry-level position involved in the ... Collects and enters data and applies technical principles and theories under supervision. Health ...

Eldis Group Partnership

$50K - $70K/yr

We're on the lookout for an entry-level Web Analytics Analyst to join our marketing team! As a Web ... With a focus on data attribution, accuracy, and completeness. You will be responsible for analyzing ...

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 ...

MD Analytics

Research Associate

Toronto, ON

This is an entry-level role on an established team that is looking for someone who is interested in ... A university degree is required; a focus in marketing, health sciences, statistics, or other ...

Apave

As an entry level NDT/RT Assistant your roles and responsibilities include but are not limited to ... Data Collection:Collect and record test data, including readings and visual observations. * Result ...

Later

IT Operations Co-op

Vancouver, BC

This is an entry-level role for someone interested in IT support, systems administration, identity ... Currently enrolled in an Information Technology, Computer Science, Cybersecurity, Systems ...

Intouch Insight

IT Support Specialist

Kanata, ON · On-site

CA$65K - CA$70K/yr

... data into action since 1992. We provide customer experience measurement services and software ... We're looking for an entry-level IT Support Specialist to join our Ottawa team . In this role, you ...

New

previous page

Showing results 41-60

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Canada, KS

Entry Level Data Science information

See Canada, KS salary details

$9

$16

$23

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

As of Aug 22, 2026, the average hourly pay for entry level data science in Canada, KS is $16.35, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $18.37 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Canada, KS?

The most popular types of Data Science jobs in Canada, KS are:

What are popular job titles related to Entry Level Data Science jobs in Canada, KS?

For Entry Level Data Science jobs in Canada, KS, the most frequently searched job titles are:

What cities near Canada, KS are hiring for Entry Level Data Science jobs?

Cities near Canada, KS 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 Canada, KS as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $34,011 per year, or $16.4 per hour.

Full Stack Software Engineer, Officer

State Street Global Advisors

Toronto, ON • On-site

CA$67K - CA$109K/yr

Full-time

Re-posted 13 days ago

Job description

Summary:

Join the Wealth Management engineering team building full-stack features that power portfolio and investment workflows for wealth managers on the Charles River Investment Management System (CR IMS). CR IMS helps wealth and investment firms manage more than $30 trillion in assets, supporting over 38,000 wealth management professionals globally.

In this entry-level role, you will design and implement APIs and web UIs, contribute to code reviews and test automation, and learn how to ship reliable software in a collaborative Agile team.

Responsibilities:

  • Under modest supervision, design, develop, test, and debug features and services that support wealth and investment management workflows

  • Implement and maintain backend APIs and web UI components using Java, JavaScript/TypeScript, React, SQL, and related technologies

  • Create and maintain automated tests (unit, integration, and UI where applicable) and support release quality through targeted manual verification when needed

  • Participate in peer code reviews and incorporate feedback to improve quality, readability, and maintainability

  • Contribute to the Agile delivery process (standups, planning, refinement, retrospectives) by providing estimates, status, and raising risks early

Qualifications:

Education:

  • B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, or other technical course of study required

Required Qualifications:

  • 0-2 years of professional software engineering experience

  • Proficiency in Javaand/or JavaScript, with strong fundamentals in data structures, algorithms, and relational databases (SQL)

  • Ability to deliver small- to medium-scoped work items with moderate supervision

  • Effective written and verbal communication skills

  • Ability to work well with peers in a collaborative team environment

  • Experience working with Agile development methodologies

Preferred Qualifications:

  • Experience with web UI development using React, API development using Spring Boot, containerization and orchestration using Docker and Kubernetes, event streaming using Kafka, AI-assisted software development tools such as GitHub Copilot and agentic AI tools, and C# and WinForms for occasional maintenance of legacy code

  • Experience with engineering and operational tools such as Dynatrace, SolarWinds, and the Temporal workflow engine

  • Experience in financial services developing solutions for portfolio management and trading

  • MS degree in Computer Science, Engineering, Mathematics, or a related technical field

Salary Range:

$67,000 - $109,750 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Apply