Data Scientist

Royal Canadian Steel Inc.; Brampton; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading steel manufacturing company in Brampton is seeking a Data Scientist to build predictive models and conduct research on data suitability. You will design methods for data collection and create databases to support analytic solutions. The ideal candidate should have a Bachelor's degree and at least 2 years of experience in data science, with strong communication skills to liaise with both technical and business stakeholders. This position requires on-site work only.

Qualifications

• Minimum 2 years of experience in data science or a related field.
• Bachelor's degree required.
• Strong communication skills for technical and non-technical audiences.

Responsibilities

• Build predictive models and communicate benefits to stakeholders.
• Conduct research and identify data requirements.
• Design and develop a database to support data collection and analysis.

Skills

Predictive modeling

Data processing

Database design

Communication

Data administration policy development

Education

Bachelor's degree

Job description

Overview

Languages

English

Education

• Bachelor's degree

Experience

2 years to less than 3 years

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