data scientist

Education: Master's degree.

Asset languages:

• Spanish; Castilian.
• German.

Work setting:

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

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.

Computer and technology knowledge:

• Development and operations (DevOps).

Area of work experience:

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

Work conditions and physical capabilities:

• Ability to work independently.
• Work under pressure.

Experience:

• 3 years to less than 5 years.

Workplace information:

• Hybrid.

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.