Reporting Specialists/Data scientist Wanted: Join Our Data-Driven Team Now!
CBC/Radio-Canada based in Montreal, QC is inviting applications from suitable candidates for the position of Reporting specialist. CBC/Radio-Canada is national public broadcaster, offering television, radio, and digital media services. It provides news, entertainment, and cultural programming in both English and French. The company focuses on diverse, inclusive content that represents communities. It operates nationwide, serving millions with unbiased news and high-quality programming. The candidates selected for the vacancy will be required to start the work as soon as possible.
Also hiring: Treaty education consultant/CRC Curriculum consultant
Job Description:
Employer Name: CBC/Radio-Canada
Position: Reporting specialist / Data scientist (people and culture) (Telework/Hybrid)
No of Vacancies: 2
Salary: Salary is not mentioned, $65.00 – $70.00 hourly estimated salary
Employment Type: Full time
Location: Montreal, QC, CA
Requisition ID: JR00002992
Requirements:
Languages: Candidates must have knowledge of the English Language
Education: Candidates should have completion of a Bachelor’s Degree in Data Science, Statistics, Industrial or Organizational Psychology
Experience: Candidates should have considerable experience in the relevant field
Other Requirements:
- The candidates should have experience as a Data Scientist with significant exposure to human capital data
- The candidates should have experience in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining
- The candidates should have experience in data visualization and reporting tools, such as PowerBI, Tableau, to create interactive and insightful dashboards
- The candidates should have experience working with and analyzing large and complex datasets, both structured and unstructured, and leveraging those datasets for training, evaluating, and deploying Machine Learning or Deep Learning, NLP or Time Series models
- The candidates should have experience with HR systems and technologies and experience with machine learning algorithms, predictive modeling, and statistical analysis
Responsibilities:
- The candidates should be able to leverage data science tools and methodologies to conduct quantitative and qualitative research, identifying opportunities across the employee life cycle talent sourcing, workforce planning, learning and development, employee experience, engagement, and retention
- The candidates should be able to develop predictive models to forecast complex People and Culture issues, such as turnover and staffing, and generate hypotheses regarding trends and drivers of employee behavior and performance
- The candidates should be able to execute statistical tests to support or disprove hypotheses, ensuring reliability, explainability, and adherence to ethical standards
- The candidates should be able to create compelling data visualizations and dashboards to communicate insights and recommendations to leadership in a clear and concise manner
- The candidates should be able to drive data literacy and advocate for data-driven decision-making across the People and Culture organization
- The candidates should be able to stay current with advancements in data science, technology, AI/ML, and people analytics
- The candidates should be able to ensure data quality, accuracy, and completeness in all analyses and reports, working with IT and other stakeholders to ensure the security, privacy, and compliance of People and Culture data and analytics
How to apply:
If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.