Data Scientist, Digital Development (French Services) (Telework/Hybrid) at CBC/Radio-Canada

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spark, Databricks, Lakeflow, Workflow Development, Performance Optimization, Metadata Management, Orchestration Tools, Airflow, Big Data Technologies, Cloud Platforms, Azure, GCP, AWS, Git, MLOps

Industry

Broadcast Media Production and Distribution

Description

Position Title: Data Scientist, Digital Development (French Services) (Telework/Hybrid) Status of Employment: Contractee Long-Term (Durée déterminée) Position Language Requirement: French Language Skills: French (Reading), French (Speaking), French (Writing) Work at CBC/Radio-Canada At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance. Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians. Unposting Date: 2025-11-21 11:59 PM This position will not be filled until consideration has been made by the CBC/APS Workforce Adjustment Committee. Why Join CBC/Radio-Canada Digital is a key part of our present and our future. CBC/Radio-Canada’s strategy is focused on becoming the first organization to provide a digital platform that delivers unique content and experiences for our audiences, by telling stories that reflect who they are. This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines. This is a hybrid role with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines. Why This Role Is Important You will join the Digital Media group, where a major initiative is underway to modernize Radio-Canada’s digital ecosystem and make it more resilient in an evolving media environment. This work will be carried out in close co-operation with various departments and will help build the public broadcaster’s future. As part of the Digital Business Intelligence team, you will be instrumental in structuring and processing large, complex datasets within our Databricks environment. Working closely with data analysts and scientists, you will transform raw data into usable assets for a variety of analytical and predictive projects. You will act as the key link between the Big Data team (responsible for data ingestion) and the teams that consume data, ensuring the quality, consistency and availability of data essential for advanced analysis at Radio-Canada. Your Key Responsibilities Your primary role is to transform raw data ingested by the Big Data team and make it available in an automated and documented manner for data analysts and scientists within our Databricks ecosystem. Your responsibilities include the following: Identifying and transforming a large volume of data using operations performed in our Databricks environment to make it readily usable by data analysts and scientists. Designing, developing and maintaining robust and resilient data transformation workflows in Databricks (Lakeflow/Workflows). Optimizing query and processing performance to ensure low latency and high resource efficiency. Managing the ongoing maintenance and evolution of workflows based on user needs and conducting impact analysis for upstream changes in the data structure. Working closely with the metrics team (responsible for data collection), the Big Data team (to understand the ingestion process) and the team of data analysts/scientists (to understand business needs). Implementing and maintaining data access governance via Unity Catalog (permissions, sensitive data masking, lineage tracking). Implementing and maintaining a data quality control process. Providing technical support to data scientists for setting up MLOps pipelines (training data preparation, automated feature engineering) and incorporating them into production flows. Establishing and documenting data engineering and modelling best practices within the team. Paying special attention to legal compliance, security and privacy considerations at all stages of data transformation and sharing. What You Bring Three or more years’ experience in a similar role. Graduate degree in a relevant field (business intelligence, economics, mathematics, statistics, IT, etc.). Strong proficiency with Python and Spark; Scala an asset. Knowledge of Databricks: Lakeflow, workflow development, performance optimization and metadata management via Unity Catalog. Experience with orchestration tools (e.g., Airflow, Databricks Workflows). Knowledge of other Big Data technologies and cloud platforms (Azure, GCP or AWS) an asset. Proficiency in versioning tools such as Git. Passion for digital and emerging technologies. Familiarity with Radio-Canada platforms and content an asset. Please note this is a 12-month contract position, renewable annually. Perks you can look forward to: Flexible work schedules, allowing you to prioritize yourself, your family and your work. Work-from-home opportunities. Competitive total rewards package. Opportunities to work with cutting-edge technology. Opportunities for continued learning and professional development. Opportunities to become a member of our Employee Resource Groups. Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent. A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected. A supportive management team committed to upholding the highest standards of diversity and inclusivity. An environment that favours experimentation and an iterative approach in order to achieve the highest form of technical innovation. Candidates may be subject to skills and knowledge testing. We thank all applicants for their interest, but only candidates selected for an interview will be contacted. As part of our recruitment process, candidates who advance to the next step will be asked to complete a background check. This includes: A mandatory Criminal record check. Other background checks may be conducted based on the operational requirements of the position. CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. That’s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That’s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster. For more information, visit the Diversity and Inclusion section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca. You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website. All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on conflicts of interest. In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest. Primary Location: 1000, Rue Papineau, Montreal, Quebec, H2K 0C2 Number of Openings: 1 Work Schedule: Full time At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Responsibilities

You will transform raw data ingested by the Big Data team and make it available for data analysts and scientists within the Databricks ecosystem. Your responsibilities include designing, developing, and maintaining data transformation workflows and ensuring data quality and governance.