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Data Science Associate Jobs in Alberta (NOW HIRING)

... 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 ...

... 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 ...

Ensure compliance with privacy laws, data protection requirements, and IT risk management standards ... Degree or diploma in IT, Computer Science, or a related field * 7+ years of progressive IT ...

\n \n \n \n \n Emerald Associates is a Canadian Oracle Partner. Headquartered in Calgary, Alberta ... Degree or diploma in computer science or a related discipline \n * 5+ years of Java or Kotlin ...

SOAR Service Lead

Calgary, AB · Hybrid

CA$84K - CA$134K/yr

... Level Senior Associate & Summary At PwC, our people in cybersecurity focus on protecting ... Bachelor's degree in Computer Science, Information Security, or a related field (required)

... data centers to modernizing transmission systems, our industry-recognized engineers and scientists ... Associate or technical school degree, or Revit and AutoCAD or MicroStation certification, or ...

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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:
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.

Quality Continuous Improvement Technician (Rotating Shifts)

Wonderbrands

Calgary, AB

Other

Posted 7 days ago


Job description

IntroductionWorking at Wonderbrands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of. We have an “entrepreneurial” mindset which encourages all our team members to use their own “creativity” and “out of the box” thinking to come up with solutions and new ideas.

Overview

The Quality Continuous Improvement Technician (QCI Tech) plays a crucial role in driving daily quality improvement initiatives at Wonderbrands bakeries. This position is responsible for conducting thorough quality checks, documenting deviations using iQMS and Cereboro, and working with the Continuous Improvement (CI) Engineering team to perform root cause analyses. By ensuring all issues are properly diagnosed and assigned to the appropriate functional areas, the QCI Tech helps maintain and enhance product quality.

QCI Techs also champion product quality improvements by actively participating in Quality Huddles as part of the VQS process, ensuring that detailed product information is available for evaluation. They utilize Six Sigma methodologies for data gathering and analysis to identify effective improvement solutions and collaborate with R&D, Engineering, and Maintenance teams to support issue resolution.

Beyond addressing quality concerns, QCI Techs play a key role in sustaining improvements by monitoring product quality, collecting data, reporting deviations, and supporting the implementation of quality programs and continuous improvement initiatives. This role emphasizes the use of technology and data analytics to enhance quality, efficiency, and compliance in a fast-paced manufacturing environment.

Additionally, QCI Techs support the Bakery Quality Manager (BQM) in ensuring adherence to all Quality Assurance programs, including HACCP, and actively participate in preparing for BRC audits, further strengthening the bakery’s commitment to excellence and regulatory compliance.

ResponsibilitiesProduct Quality & Process Monitoring

  • Actively contribute to product quality improvements by collaborating with bakery teams.
  • Monitor production processes and parameters to ensure compliance with recipes and ingredient specifications.
  • Perform routine quality inspections on raw materials, in-process products, and finished goods.
  • Verify packaged products meet quality standards.
  • Work with Continuous Improvement (CI) Engineers to conduct root cause analysis and implement corrective actions.

Compliance & Documentation
  • Maintain accurate records of quality checks, test results, and deviations using tools like iQMS.
  • Ensure compliance with food safety regulations (CFIA, FDA, USDA, SQF, BRC, GFSI) and internal policies.
  • Document all Quality Assurance (QA) processes and maintain necessary records.
  • Assist in audit preparation and execution (internal, third-party, regulatory).

Quality Huddles & Continuous Improvement
  • Actively participate in daily Quality Huddles, collecting and analyzing relevant samples.
  • Collaborate with production teams to identify and resolve quality deviations.
  • Support and implement continuous improvement initiatives to enhance product quality and efficiency.

Food Safety & Sanitation
  • Verify that sanitation procedures are followed to maintain a hygienic production environment.
  • Conduct environmental monitoring and swab testing to ensure compliance with food safety standards.
  • Enforce allergen control and cross-contamination prevention measures.

Training & Team Collaboration
  • Educate production staff on Good Manufacturing Practices (GMPs) and quality standards.
  • Work closely with R&D, Engineering, and Operations teams to support new product development and process improvements.

Investigation & Reporting
  • Conduct root cause analysis on quality defects and customer complaints.
  • Implement corrective and preventive actions (CAPAs) to prevent recurring issues.
  • Generate and present quality reports to management.

Labeling, Packaging & Product Testing
  • Ensure accurate labeling, coding, and packaging in compliance with regulations.
  • Verify allergen declarations, ingredient lists, and nutritional information for accuracy.
  • Conduct shelf-life evaluations to assess product stability and monitor packaging integrity to prevent contamination.

Learning & Skill Development
  • Gain expertise in Six Sigma methodology as it applies to quality improvement.
  • Obtain a Green Belt in Six Sigma within one year of starting the QCI Tech position.
  • Act as a Six Sigma champion, sharing knowledge and promoting best practices within the bakery team.

RequirementsEducation & Experience

  • Associate or Bachelor’s degree in Food Science, Engineering, Quality Management, or a related field.
  • 2+ years of experience in quality assurance, continuous improvement, or a related role in a food manufacturing environment.

Technical & Analytical Skills
  • Strong problem-solving skills and logical thinking to conduct root cause analysis effectively.
  • Ability to analyze production data and generate actionable insights.
  • Knowledge of food safety regulations, HACCP principles, and industry best practices (preferred).
  • Experience with quality management software, data analytics tools, and automation systems (a plus).
  • Familiarity with Lean Manufacturing, Six Sigma, and Continuous Improvement (CI) methodologies (preferred).

Soft Skills & Work Ethic
  • Strong analytical, organizational, and problem-solving abilities.
  • Excellent communication and collaboration skills to work effectively across teams.
  • Ability to thrive in a fast-paced environment with a focus on continuous improvement and innovation.

FGF Group Competencies:

Adaptive Intelligence - Team Members respond effectively to challenges by evolving their skills, mindset, and approach.

  • Flexibility, Agility, Adaptability: Thrives in dynamic environments by embracing continuous change. Quickly adjusts to new priorities and actively seeks innovative solutions. Uses setbacks as opportunities for growth and applies a relentless focus on improving outcomes. Approaches challenges with a proactive, solutions-driven mindset and openness to feedback.
  • Calculated Risk-Taking: Makes strategic decisions by evaluating options and creating contingency plans.

Collaborative Intelligence - Collaborative intelligence empowers teams to unlock collective strengths and achieve results through synergy and mutual trust.

  • Team First and Collaboration: Engages with Team Members and colleagues, builds relationships, and fosters an inclusive, innovative environment.

Entrepreneurial Intelligence - Equips Team Members to identify opportunities, overcome setbacks, and move ideas to execution effectively.

  • Continuous Improvement: Drives innovation and optimizes processes to enhance quality and productivity.
  • Customer and Product Focus: Addresses need proactively with accountability and a solution-oriented mindset.
  • Fierce Execution: Achieves results with a strategic and hands-on approach, learning from mistakes and building trust. 


Leadership Competencies

Inspire & Energize Team Members

  • Continually inspires and develops Team Members and promote cross-functional collaboration.
  • Supports shared knowledge and experience with your Team through authentic conversations and development planning.
  • Communicates clear expectations.
  • Uses insight and knowledge to influence others.
  • Understands and acknowledge differences and modifies style to support unleashing potential.
  • Demonstrates patience and empathy, while listening.

Create Winning Relationships

  • Inspire enthusiasm & commitment by communicating a clear path to success.
  • Empowers others by delegating and providing support and opportunities for growth.
  • Identifies, raises and resolves conflict.
  • Builds trust and models the “Coach Approach.”

Entrepreneurial Leadership

  • Encourages informed risk-taking and supports learning from outcomes.
  • Creates an environment where your team enjoys working hard while having fun.
  • Provides feedback to reinforce results.

 

Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added, or this description may be amended at any time.