data scientist

Royal Canadian Steel Inc.; Brampton; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company in the steel industry is seeking a Data Scientist to join their team in Brampton. The ideal candidate will possess a Bachelor's degree and at least five years of experience. Responsibilities include building predictive models, data analysis, and database management. This is a full-time on-site position with a focus on operational excellence.

Qualifications

• 5 years of experience in data science.
• Proficient in database management and data analysis.
• Strong leadership abilities and research skills.

Responsibilities

• Build predictive models and design databases.
• Extract and analyze data from various sources.
• Lead teams in the implementation of data policies.

Skills

Data Science

Database Management

Data Analysis

Model Development

Research Skills

Team Leadership

Education

Bachelor's degree

Job description

Overview

Languages

English

Education

• Bachelor's degree
  
  

Experience

5 years or more

On site

Work must be completed at the physical location. There is no option to work remotely.

Responsibilities

Tasks

• Build predictive models
• Communicate the business and technical benefits of the analytic solution to both business and technical audiences
• Conduct research regarding availability and suitability of data
• Confer with clients to identify requirements
• Data Science
• Design methods of collecting and processing data to answer specific research questions
• Develop data mapping methods
• Document data access rules
• Extract information from unstructured sets of data
• Highlight key data sources and the methodology to be used on a specific project
• Research data collection and administration policy
• Design and develop database
• 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 data administrators in the development and implementation of data policies, standards and models
• Resolve conflict situations
• Operate automatic or other testing equipment to ensure product quality
• Conduct tests and perform security and quality controls