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Data Science Associate Jobs in Alberta (NOW HIRING)

AppDirect

Software Developer

Calgary, AB

... scientist to ship features that are highly visible across Tackle's customer base. You bring a ... Contribute to data pipeline work that moves and associates model outputs with the right users and ...

Johnson Controls

Quality Systems Developer

Edmonton, AB · On-site

Bachelor's degree in Computer Science,Computer or SoftwareEngineering,ora related field. * 5 years ... Strong understanding of databases and data modeling, particularly in relation to Microsoft SQL ...

KPMG

Security Architect

Calgary, AB · On-site

... data protection * Analyzing requirements for cloud security tools and technology and support ... Bachelor's or master's degree in Information Technology, Computer Science, or a related work ...

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All JobsData Science Associate JobsData Science Associate Jobs in Alberta

Data Science Associate information

See Alberta salary details

$10

$45

$98

How much do data science associate jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for data science associate in Alberta is $45.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $61.78 per hour, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Alberta? The most popular types of Data Science jobs in Alberta are:
What are popular job titles related to Data Science Associate jobs in Alberta? For Data Science Associate jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Alberta look for? The top searched job categories for Data Science Associate jobs in Alberta are:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $94,837 per year, or $45.6 per hour.
Software Developer

Software Developer

AppDirect

Calgary, AB

Other

Posted 6 days ago

Job description

About AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture-one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About the team - Tackle

Tackle, a business unit of AppDirect, is the leading solution built to help software companies generate revenue through data-driven Cloud go-to-market (Cloud GTM). Our platform and team help customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft.

Tackle serves more than 500 software companies-including CrowdStrike, HashiCorp, New Relic, and Snyk-from high-growth startups to the largest software companies in the world.

About You

You'll join a small, high-ownership team building the intelligence layer of Tackle's platform - turning machine learning models into real product experiences that customers use every day. Your day-to-day work spans the full stack: TypeScript on both the backend (Node.js) and frontend (React), running on AWS serverless infrastructure including Lambda, API Gateway, and DynamoDB. Because the team is small, you'll own meaningful portions of the product end to end, collaborating directly with a product manager and a data scientist to ship features that are highly visible across Tackle's customer base. You bring a growth mindset to your work - you're comfortable asking questions, learning new services quickly, and closing gaps through curiosity rather than waiting for perfect prior experience. You communicate clearly in a distributed team setting and take pride in writing code that is testable, maintainable, and ready for production.

What you'll do and how you'll have an impact

  • Build and maintain full-stack features on Tackle's propensity-to-buy product, exposing machine learning model outputs directly to customers through a React frontend and TypeScript/Node.js backend.
  • Design and implement serverless backend services using AWS-native tools such as Lambda, API Gateway, and DynamoDB.
  • Contribute to data pipeline work that moves and associates model outputs with the right users and accounts.
  • Take end-to-end ownership of features - from design through deployment - on a team where your contributions are immediately visible in production.
  • Collaborate daily with a product manager and data scientist to shape how AI-driven insights are surfaced in the product interface.
  • Participate in code reviews to uphold code quality standards and share knowledge across a small engineering team.

What we're looking for

  • 2+ years of professional experience building full-stack web applications, with working knowledge of both frontend and backend layers.
  • Professional experience with React and TypeScript (or strong proficiency in JavaScript/TypeScript with demonstrated readiness to work in a TypeScript-only codebase).
  • Hands-on experience deploying applications on AWS, particularly with serverless services such as Lambda, API Gateway, or DynamoDB.
  • Familiarity with data pipelines or moving/transforming data between systems (nice to have, but valuable given how the team operates).
  • Exposure to machine learning model integration or building AI-powered product features is an asset, not a requirement.
  • A strong sense of ownership, because on a team this small you will hold significant responsibility for product areas and need to drive work forward with limited direction.
  • Intellectual curiosity that leads you to understand how your code fits into the broader system - this matters because you'll work across the stack and alongside non-engineering roles where asking the right questions shapes outcomes.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

At AppDirect, AI tools may assist our recruitment team with administrative automations - always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy - all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com.

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