(NOC 21211)
ONIKON Creative Alberta Inc. is seeking a skilled and experienced Artificial Intelligence (AI) Analyst to support the development and improvement of data-driven solutions for its real estate media and digital service operations.
The successful candidate will analyze business and operational data, develop machine learning models, and apply statistical and AI techniques to improve service efficiency, customer insights, and the performance of digital products and platforms.
Full-time
Vacancy: 1
Work Location: 10180-101 Street NW Edmonton., AB T5J 3S4 Canada
Wage: $43.50 -$45.00 per hour, based on experience and qualifications (To be negotiated)
Working Hours: 30-40 hours per week (To be determined)
Job duties:
- Analyze structured and unstructured data related to real estate media projects, customer activities, service orders, and digital platform operations to identify patterns, trends, and business opportunities.
- Develop, test, and validate statistical models and machine learning algorithms to support business forecasting, customer analytics, and operational decision-making.
- Build predictive models to estimate service demand, identify customer and project patterns, and improve operational planning.
- Collect, clean, transform, and integrate data from multiple sources to support reliable analysis and model development.
- Develop and optimize data processing pipelines, feature engineering workflows, and analytical datasets for machine learning applications.
- Evaluate model performance using appropriate statistical methods, experiments, and validation techniques, and recommend improvements based on analytical results.
- Analyze the performance of digital services and platform-based business processes to identify opportunities for automation, improved customer experience, and operational efficiency.
- Apply machine learning and generative AI techniques to assess opportunities for improving real estate media workflows, content-related processes, and internal business operations.
- Work with engineering, product, and business teams to translate operational requirements into practical data-driven solutions.
- Prepare analytical reports, present findings, and communicate technical recommendations to technical and non-technical stakeholders.
- Research emerging developments in data science, machine learning, and AI and assess their practical applicability to the company's business needs.
Qualifications:
- A bachelor's degree or higher in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or a related quantitative field.
- At least 5 years of relevant professional experience in data science, machine learning, statistical modeling, or advanced data analytics.
- Demonstrated experience developing, evaluating, and applying machine learning models to real-world business problems.
- Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data processing techniques.
- Proficiency in Python and experience working with large datasets and data analysis workflows.
- Experience developing data pipelines and working with structured and unstructured data.
- Strong analytical, problem-solving, and communication skills.
- Ability to collaborate effectively with technical and business teams and translate analytical findings into practical recommendations.
- Experience applying AI or machine learning to digital products, customer analytics, or business process optimization is an asset.
- Experience with generative AI or large language model applications is an asset.
