Job Information
Data Scientist (Ottawa )
20 Days Ago
Overview
Job Category: Computer/IT
Job Type: Full-Time
Posted: 2021-02-05
Requirements
Job Status
Start Publishing: 2021-02-05
Stop Publishing: 2021-02-26
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Description

Position Description
CGI has an open opportunity for a Data Scientist to join our team in Ottawa. Attributes that define our ideal candidates will include:

analytical curiosity, strong data-oriented skills and a statistical programming background

Possess a successful track record of designing and developing AI/ML algorithms for private or public sector solutions

Up-to-date with the latest technology trends, have a strong desire to constantly learn and be ready to put on the hacker's hat at any time to convert an idea into a demonstration

Highly detailed-oriented with exceptional organizational and follow-through skills

Self-started and able to execute without a lot of direction or oversight

Exceptional communication skills, with an ability to make advanced analytics concepts accessible and understandable to non-technical business users

Value collaboration and urgency; and have a passion for driving impact


Your future duties and responsibilities


Solve some of the most challenging and impactful problems for financial services, insurance and the government by using artificial intelligence, machine learning, natural language processing and big data

Drive innovation into Analytics solutions and focus on humanizing enterprise software to achieve better customer experience and to enable data-driven business decisions

Work on high priority initiatives using advanced analytics, predictive modelling and a variety of data sources to produce actionable business insights

Ideate, conceptualize, design, develop and maintain AI/ML algorithms that provide data insights that drive operational efficiencies and cost savings

Build production grade models on large-scale datasets. Utilize advanced statistical modelling, machine learning, and data mining techniques

Provide guidance to a customer and project team with respect to technical feasibility, complexity, and level of effort required to deliver a solution

Work closely with other team members to further develop metrics, KPIs, and insights that measure business performance improvements

Assist in the development and delivery of pre and post-sales POCs, presentations and proposals for client engagements

Travel periodically in support of sales and delivery as needed



Qualifications

Required qualifications to be successful in this role


At least 2 years of experience working on predictive analytics and data mining projects

Sound knowledge and experience of Cloud Computing working with Azure and AWS native services for data & AI.
2 years of hands-on experience using complex machine learning methods and algorithms At least 2 years of experience working with one or more data mining tools such as R, Python, Scala or SAS

Hands-on experience working with Big Data technologies such as Spark, Cassandra, and/or Hadoop

Hands-on experience writing complex SQL queries and working with relational databases such as Oracle, DB2 or SQL Server
Hands-on experience constructing and manipulating JSON and XML documents and working with NoSQL databases such as MongoDB and CouchDB

Good understanding of microservices architecture and hands-on experience working with REST APIs

Self-directed and demonstrable problem-solving skills

Knowledge of modern software development techniques and methodologies

Knowledge and practice of secure software development processes
Ability to handle multiple priorities and deadlines

Bachelor’s degree in mathematics, business, statistics, economics, computer science or information systems (or equivalent combination of skill and experience)
Asset :

4 years of experience working on predictive analytics and data mining projects

4 years of hands-on experience using Machine Learning, Cognitive, and AI APIs

4 years of experience with both relational and NoSQL technologies

2 years of experience using data transformation and integration services such as Kafka Connect and/or Py.Spark

Knowledge of the Python data ecosystem using pandas and NumPy Experience building and deploying ML pipelines

2 years of experience working on predictive analytics and data mining projects for financial services, insurance, healthcare or the government

Expertise with Agile development methodology and Continuous Delivery best practices

Must currently hold or be eligible to obtain a Federal Government clearance of enhanced reliability

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