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Research Assistant: Advanced Data Analytics
Research Assistant: Advanced Data AnalyticsUniversity of Alberta • Edmonton, Division No. 11, CA
Research Assistant : Advanced Data Analytics

Research Assistant : Advanced Data Analytics

University of Alberta • Edmonton, Division No. 11, CA
6 days ago
Job type
  • Full-time
Job description

Research Assistant : Advanced Data Analytics

Join to apply for the Research Assistant : Advanced Data Analytics role at University of Alberta.

Internal Applicant Notice : This competition is restricted to internal applicants of the University of Alberta. Please log in to verify your internal candidate status.

This position is a part of the Non‑Academic Staff Association (NASA). This position has a term length of one year plus a day with the possibility of extension and offers a comprehensive benefits package.

Location : This role is hybrid with a mix of remote and in‑person work at North Campus, Edmonton.

Position Summary

The Research Assistant : Advanced Data Analytics will support data‑driven research by managing the full analytics workflow from data collection to model deployment. The role will gather, clean, and validate diverse datasets; perform exploratory and statistical analyses; and apply Natural Language Processing techniques to extract insights from unstructured data. The Assistant will develop and refine predictive and machine learning models, ensuring their accuracy, reliability, and scalability through rigorous testing and optimization. The role also involves translating complex findings into clear, compelling visualizations and communicating results in a business‑ready format to inform decision‑making and advance research objectives.

Responsibilities

  • Data collection & cleaning – gather, consolidate, and validate raw datasets to ensure accuracy and readiness for analysis.
  • Data analysis & exploration – perform descriptive and diagnostic analytics to identify trends, anomalies, and key business drivers.
  • Natural Language Processing (NLP) – apply text analytics, tokenization, embeddings, and model‑based techniques to extract insights from unstructured text data.
  • Predictive modelling & machine‑learning development – build and train statistical and machine‑learning models to support forecasting and classification tasks.
  • Model validation & optimization – test, tune, and refine models to maximize accuracy, reliability, and scalability.
  • Data visualization & communication – develop clear, insightful visual representations of findings and present results to stakeholders in a business‑ready format.

Qualifications

  • Master's in Science / Engineering with expertise in Python, natural language processing, and advanced predictive data analytics.
  • Experience with data cleaning, exploratory analysis, and basic statistical methods.
  • Proficiency in Python for data analysis and machine learning.
  • Experience applying NLP techniques to text data.
  • Hands‑on experience building and validating predictive or machine‑learning models.
  • Ability to create clear data visualizations and communicate analytical findings.
  • Experience with research projects and cloud platforms.
  • About Us

    The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

    The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

    Your work will have a meaningful influence on a fascinating cross-section of people – from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just.

    At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

    We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

    All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms—physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

    The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Métis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

    About the Team

    The Faculty of Engineering is one of North America’s top engineering schools, known for innovation, collaboration, and impact. It fosters an exceptional student experience through a holistic approach that combines technical excellence with emotional intelligence. With strong community engagement, interdisciplinary research, and a commitment to societal well‑being, the faculty prepares students to lead in a rapidly evolving, global engineering landscape.

    Seniority level

  • Entry level
  • Employment type

  • Part‑time
  • Job function

  • Research, Analyst, and Information Technology
  • Industries

  • Higher Education
  • #J-18808-Ljbffr

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    Research Assistant • Edmonton, Division No. 11, CA

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