Data Science - Hybrid

Advantages
Key Responsibilities:
 Reviewing manual production procedures and developing automation scripts and tools in Python
 Collaborate with Research, Operations and Product teams to identify automation opportunities
 Monitor and troubleshoot automation processes to ensure smooth operations
 Document automation processes and support training for team members
 Collaborating with Data Architects in the Product department in designing a Data Lake using AWS
 Ensuring that planned data structures support automation tools and process needs
 Ensuring that data structures allow for effective reporting and analytics
 Assisting the Data Science team in related Data Science and modelling tasks

Responsibilities
Key Responsibilities:
 Reviewing manual production procedures and developing automation scripts and tools in Python
 Collaborate with Research, Operations and Product teams to identify automation opportunities
 Monitor and troubleshoot automation processes to ensure smooth operations
 Document automation processes and support training for team members
 Collaborating with Data Architects in the Product department in designing a Data Lake using AWS
 Ensuring that planned data structures support automation tools and process needs
 Ensuring that data structures allow for effective reporting and analytics
 Assisting the Data Science team in related Data Science and modelling tasks

Qualifications
Skills Required:
 Undergraduate degree in Statistics, Data Science, Mathematics
 5-7 years of proven experience in developing automation scripts using Python and a s strong knowledge of
automation frameworks and tools.
 Knowledge of data extraction and transformation is required. Candidate should be comfortable working in
Python, R and AWS.
 Excellent problem-solving and analytical abilities, including machine learning and analytics.
 Python
 AWS: Lamda, S3, Glue, Red Shift, Neptune and other data management services
 Data Architecture
 Database management: proficiency in SQL/Oracle for querying and managing large datasets
 Expert Excel power user including Visual Basic
 Statistical knowledge
 Understanding of ML techniques for data-driven insights
 Knowledge of MS Office (Word, PowerPoint and Outlook)
 Knowledge of radio/television marketing (asset)
 Good communication skills to present results to varying audiences.

Summary
Key Responsibilities:
 Reviewing manual production procedures and developing automation scripts and tools in Python
 Collaborate with Research, Operations and Product teams to identify automation opportunities
 Monitor and troubleshoot automation processes to ensure smooth operations
 Document automation processes and support training for team members
 Collaborating with Data Architects in the Product department in designing a Data Lake using AWS
 Ensuring that planned data structures support automation tools and process needs
 Ensuring that data structures allow for effective reporting and analytics
 Assisting the Data Science team in related Data Science and modelling tasks

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.