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Équipement d'emballage MMC
Data scientistÉquipement d'emballage MMC • Laval, QC, Canada
Data scientist

Data scientist

Équipement d'emballage MMC • Laval, QC, Canada
21 hours ago
Job type
  • Permanent
Job description
  • Durée de l'emploi: Permanent
  • Langue de travail: Bilingue
  • Heures de travail: 40 hours per week
  • Education:
  • Expérience:

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
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Data scientist • Laval, QC, Canada

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