Lead Data Scientist

Job summary

Lead data science and information systems work, including building predictive models, analyzing large datasets, designing databases, and developing data policies and solutions. Coordinate technical teams and oversee software development, testing, security, integration, and quality assurance.

Job details

Overview Languages English Education College, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 years Experience 2 years to less than 3 years Hybrid Work must be completed both in person and remotely. Responsibilities Tasks Assess and troubleshoot applications software Build predictive models Communicate the business and technical benefits of the analytic solution to both business and technical audiences Conduct business and technical studies to aid in decisions on system implementation or migration Conduct research regarding availability and suitability of data Confer with clients to identify requirements Coordinate the development, installation, integration and operation of computer-based systems Data Science Design methods of collecting and processing data to answer specific research questions Develop data mapping methods Develop queries and logic to generate reports Discover trends and patterns within large amounts of information Document data access rules Document technical requirements to ensure that products, processes and solutions meet business requirements Extract information from unstructured sets of data Highlight key data sources and the methodology to be used on a specific project Prepare plan to maintain software Provide advice on the selection of automated anomaly detection systems Research data collection and administration policy Synthesize technical information through creation of data visualization Upgrade and maintain software Use ensemble modelling to combine multiple algorithms to obtain better predictive performance Design and develop database Design, develop and implement information systems business solutions Provide advice on information systems strategy, policy, management and service delivery Assess physical and technical security risks to data, software and hardware Operate database management systems to analyze data Develop and implement data administration policy, standards and models Develop policies, procedures and contingency plans to minimize the effects of security breaches Lead and co-ordinate teams of information systems professionals in the development of software and integrated information systems, process control software and other embedded software control systems Develop and implement policies and procedures throughout the software development life cycle Research and document data requirements, data collection and administration policy, and data access rules Conduct reviews to assess quality assurance practices, software products and information systems Develop policies and procedures for network access and usage and for the backup and recovery of data Lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models Write scripts related to stored procedures and triggers Resolve conflict situations JavaScript Object Notation (JSON) Usability testing Operate automatic or other testing equipment to ensure product quality Conduct tests and perform security and quality controls Execute and document results of software application tests and information and telecommunication systems tests Experience and specialization Computer and technology knowledge Agile Automatic data processing (ADP) Business intelligence Cloud Development and operations (DevOps) Machine Learning Matrix Laboratory (MATLAB) OpenGL R Shell script Area of specialization Scrum System integration Accessibility testing Business process management External audit Technical support User experience design Testing

What you’ll do

Lead data science and information systems work, including building predictive models, analyzing large datasets, designing databases, and developing data policies and solutions. Coordinate technical teams and oversee software development, testing, security, integration, and quality assurance.

Requirements

The posting specifies a college, CEGEP, or other non-university certificate or diploma from a one- to two-year program, and two years to less than three years of experience. It also lists experience or knowledge in areas such as machine learning, business intelligence, cloud, DevOps, Agile, Scrum, MATLAB, R, shell scripting, and system integration.

Listed skills

• Data visualization · Preferred
• Data analysis · Preferred
• Scrum · Preferred
• Machine learning · Preferred
• Agile · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Science
• Predictive Modeling
• Machine Learning
• Data Analysis
• Business Intelligence
• Database Design
• Data Administration
• Software Testing
• Security Risk Assessment
• Data Visualization
• Agile
• Scrum
• DevOps
• System Integration
• JavaScript Object Notation (JSON)
• R

Job areas

• Data & Analytics
• Technology
• Software
• Management & Leadership
• Science & Research