data scientist

Overview

Languages

Bilingual

Education

• Master's degree

Experience

3 years to less than 5 years

Hybrid

Work must be completed both in person and remotely.

Asset languages

• Spanish
• German

Work setting

• Manufacture
• International level
• Private sector
• Industrial equipment and automation manufacturing

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 process and network models to optimize architecture
• 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
• 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
• Write scripts related to stored procedures and triggers
• Usability testing
• 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

• Development and operations (DevOps)

Area of work experience

• Project implementation
• Information technology (IT) service delivery
• Design
• Quality assurance or control

Additional information

Work conditions and physical capabilities

• Ability to work independently
• Work under pressure

Benefits

Health benefits

• Dental plan
• Disability benefits
• Health care plan
• Paramedical services coverage
• Vision care benefits

Financial benefits

• Bonus
• Group insurance benefits
• Life insurance
• Pension plan
• Registered Retirement Savings Plan (RRSP)

Long term benefits

• Long-term care insurance

Other benefits

• Free parking available
• Learning/training paid by employer
• On-site recreation and activities
• Paid time off (volunteering or personal days)
• Team building opportunities
• Parking available
• Travel insurance
• Variable or compressed work week
• Wellness program