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Data Science Associate Jobs in Alberta (NOW HIRING)

Performing data review and resolution of queries to maintain high-quality clinical data ... Bachelor's degree in a scientific or healthcare-related field. * Minimum of 2 years of experience ...

... 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 ...

... data migration, and integration techniques. * Exposure to the end-to-end SDLC lifecycle on projects ... of Computer Science, Engineering, or Information Technology. * Experience in Python, Java ...

... data migration, and integration techniques. * Exposure to the end-to-end SDLC lifecycle on projects ... of Computer Science, Engineering, or Information Technology. * Experience in Python, Java ...

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 ...

... 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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Data Science Associate information

See Alberta salary details

$10

$45

$98

How much do data science associate jobs pay per hour?

As of Jul 2, 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:

Associate or Senior Associate, Civil and Structural Group

30 Forensic Engineering

Calgary, AB

Full-time

Posted 16 days ago


Job description

Associate or Senior Associate, Civil and Structural Group

Calgary, AB


30 Forensic Engineering is one of Canada's largest and most respected multi-disciplinary forensic firms. Our core team of 100 professional investigators, engineering technicians, and support staff is enhanced through relationships with some of the top scientists, standard-makers, and specialized consultants in North America. We serve a wide range of industries including Insurance, Manufacturing, Legal, Construction, Health Care, Commercial and Residential Property, Financial, Government, Hospitality, Mining, Renewable Energy, and Transportation.


If you want to be part of a dynamic, growing firm and contribute your skills, knowledge, and expertise to our diverse team of professionals, we'd like to hear from you.


Purpose

The Senior Associate will report directly to the Practice Lead, collaborating with other subject matter experts to consult with clients, perform examinations and testing, and prepare technical reports in a clear, concise, and professional manner.


Responsibilities

  • Perform site examinations and document reviews; communicate findings clearly to colleagues and clients.
  • Report to the Civil/Structural Team and work closely with the Practice Lead on performance, professional development, and team goals.
  • Prepare structural calculations, simulations, and technical drawings from field measurements, sketches, and other data.
  • Prepare technical reports and drawings based on sound investigation and analysis.
  • Manage client service deadlines, budgets, invoicing, and accounts receivable efficiently.
  • Liaise directly with clients, providing regular updates throughout investigations.
  • Demonstrate commitment to the firm's mission, vision, and values.
  • Participate in business development and marketing activities; attend industry seminars and events.
  • Manage projects in line with billing and reporting requirements, including client-based MSAs.
  • Work collaboratively across teams and disciplines.
  • Develop toward providing expert testimony in court.


Requirements

  • 5+ years of relevant experience.
  • Licensed Professional Engineer (P.Eng.).
  • Excellent technical writing skills.
  • Strong presentation skills (asset).
  • Valid Canadian driver's license.
  • Willing and able to travel throughout Canada.


Competencies & Attributes:

  • Strong commitment to client service.
  • Excellent written and verbal communication skills.
  • Ability to organize, prioritize, and multitask effectively.
  • Professional and pleasant telephone manner.
  • Strong organizational skills and attention to detail.
  • Great interpersonal communication and customer service skills.
  • Ability to adapt quickly to changing priorities and work under pressure.
  • Demonstrated ability to take initiative and drive administrative processes efficiently.
  • Understanding of business processes and workflow management to support efficient project coordination.
  • Results-oriented and proactive.
  • Proficient in learning and utilizing new computer applications.
  • Excellent teamwork and collaboration skills.

Our Mission:

We are problem solvers. Together, our passionate and diverse professionals are relentless in their pursuit of the truth. We bring clarity to complex scientific problems to help our clients make decisions with confidence.

How we work:

Our corporate philosophy is based on providing an unparalleled combination of technical excellence, powerful reporting, and professional service. That, combined with our commitment to ethical practice, has quickly established us as the preeminent forensic firm in Canada servicing the legal and insurance industries. The firm is progressive in its management practices and is committed to implement systems and protocols that will support ongoing growth.

Our Process:

30 Forensic Engineering is an equal opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunity regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request we will provide accommodation for applicants with disabilities.

We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. All applications will be reviewed from our Talent Team and the successful candidate(s) will go through the following recruitment process:

  1. Recruiter Phone Interview
  2. Hiring Manager(s) Interview
  3. Team Interview

Interested applicants are encouraged to apply through our applicant tracking system - https://30fe.bamboohr.com/careers/137

We thank all candidates for their interest however, only those qualified forthe position will be contacted