Data Scientist
2 weeks ago
**NOTE: This is a temporary position ending on or before June 25, 2025 with the possibility of extension.**
NAIT Applied Research’s Clean Technologies Team, Centre for Culinary Innovation, and Centre for Innovative Media are collaborating on a new research program devoted to helping Alberta’s Agri-food sector create value from waste streams. This program aims to accelerate the industrial scale-up of low carbon emissions biochemical, physical, and chemical approaches to transform agricultural and food waste, by-products, and residual materials streams into high-value sustainable chemicals, fuels, and food ingredients.
Reporting to the Manager, Centre for Innovative Media, the Data Scientist will be responsible for leading the development of data science projects including coordination, implementation, execution, control, and completion of projects. This position will lead the development of data science projects including determination for data requirements, data collection, analysis using statistical models and techniques, and visualization.
**Key Responsibilities**:
- Design and implement data science projects including project scope, milestones and deliverables
- Integrate data and predictive analytics, statistical methods and/or techniques to data sets
- Prepare written reporting documents on project progress and outcomes
- Communicate project results with internal and external stakeholders
- Participate in training and supervision of junior staff and students
- Support communication and outreach activities within the Centre and research program
**Skills & Abilities**:
- Demonstrated experience in large data set analysis, predictive analytics, statistical and data modeling, methodology, techniques and/or visualization
- Proficiency in programming languages (e.g., Python, R, SQL)
- Experience and/or training in artificial intelligence or machine learning is an asset
- Ability to communicate and work effectively within multidisciplinary teams
**Qualifications**:
- Related doctoral degree is recommended
- Minimum bachelor’s degree in a related field (Data Science, Computer Science, Statistics, Mathematics, Information Technology, Engineering) is required
- Minimum of 4 years of direct work experience in a data science role.
- Experience working with industry partners is preferred.
- Equivalencies may be considered
**Remuneration**:$2,884 - $3,846.15 bi-weekly, plus a comprehensive benefits package. (Classification - Research Associate II).
- This position is covered by the AUPE (Alberta Union of Provincial Employees) Collective Agreement._
**About NAIT**
At NAIT, people matter.
We’re proud to have been named one of Alberta’s Top Employers for 11 consecutive years. Developing an engaging, supportive and rewarding work culture is something we take seriously. We know that people are our biggest asset - they are what makes NAIT a great place to work.
At NAIT, you are part of a community that makes a difference in the lives of students, staff and industry clients and partners. The NAIT culture reflects our shared values of respect, collaboration, celebration, creativity and accountability. We are committed to equity, diversity and inclusion and are a proud partner of the Canadian Centre for Diversity and Inclusion and Pride at Work Canada.
**What we offer**
We’ve created a benefits package that focuses on health and wellness, professional and personal growth, recognition and work-life balance.
NAIT is a flexible workplace and depending on the nature of your role, you may request flexible work arrangements with respect to where and when you work, including being on-campus full-time, working off-site, or a combination of the two.
Employees also have access to excellent vacation time, paid time off between Christmas and New Year's, a strong recognition program, learning opportunities, 2 annual all-staff professional development days and so much more.
**Health and safety**
NAIT continues to encourage everyone coming to our campuses to be fully vaccinated against COVID-19 and to get their booster shots as soon as they are eligible. Vaccination against COVID-19 remains the best way to prevent severe illness and death, and third doses can boost immunity to improve protection and limit spread.
**Additional requirements**
Applicants with education credentials earned outside of Canada who have not had them previously assessed should have their credentials evaluated by World Education Services or the International Qualifications Assessment Service (IQAS)
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