Story Behind the Need:

• There has never been a better time to join client as a Data Scientist.
• The Data Scientist role in the Global Data & Analytics team at client is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities.
• This role will be focusing on Open Banking projects.
• A successful candidate will have hands-on experience working in big Data Analytical environments, with a meaningful experience building strong working relationships, and success in effectively identifying and managing client requirements and expectations for delivering data solutions.

Candidate Value Proposition:

• The successful candidate will have the opportunity to work within client.
• We are technology partners who help the business transform how our employees around the world work.
• You will get to work with and learn from diverse industry leaders, who have hailed from top technology.

Typical Day in Role:

• Work closely and independently with business owners to identify opportunities and serve as an ambassador for promoting analytical solutions
• Ingest massive volumes of structured and unstructured format data, model, transform and store it in a variety of data stores
• Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
• Design and deliver analytical solutions to clients for unveiling insights and boosting business performance
• Support build real-time/batch data pipeline and automate dashboards in cloud/on-premise environment
• Support stakeholders in delivering enterprise-wide solutions

Candidate Requirements/Must-Have skills:

• 3-6+ years of working experience as a Data Scientist
• 3-6+ years of hands-on experience with Python, SQL (e.g., SQL Server, DB2, MySQL), Spark, building data pipelines and dashboards
• 3-6+ years of experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files)
• 3-6+ years of hands-on experience with Big Data/Cloud ecosystem (GCP preferred) and experience with NoSQL databases (MongoDB preferred)
• 3-6+ years of experience with UNIX tools and shell scripting
• 3-6+ years of experience using and implementing visualization tools like D3, Tableau or PowerBI

Nice-To-Have Skills:

• Experience with docker, Airflow, Trino, K8s is preferred
• Good to have knowledge and understanding of the evolving requirements for Open Banking in Canada, understanding Open Banking across global jurisdictions, and the technology required to enable Open Banking capabilities

Soft Skills:

• Strong communication skills with excellent ability to synthesize complex information
• Ability to work as part of a team, as well as work independently or with minimal direction
• Excellent written, presentation, and verbal communication skills
• Collaborate with business stakeholders, data architects and IT team members on project goals

Best vs. Average Candidate:

• Strong data engineer background – hands on experience in ETL process
• Cross-team collaboration – ability to collaborate and communicate effectively with other team members and business stakeholders

Education/Experience:

• University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics)

Candidate Review & Selection:

• 1st round MS Teams video interview – Hiring manager (45 minutes)
• 2nd round MS Teams video interview – Panel interview (30 minutes)