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Senior Data Scientist II

RELX

Canada

On-site

CAD 90,000 - 120,000

Full time

Today
Be an early applicant

Job summary

A leading data science company in Canada is seeking a Senior Data Scientist II to leverage advanced analytics and machine learning techniques to drive data-driven decisions. The ideal candidate will have a Master’s or doctorate in a related field and extensive experience in data science. This role offers flexible working hours and various wellbeing initiatives, including health plan benefits and paid vacation.

Benefits

Health plan benefits
Employee Assistance Program
Retirement Benefits
Various Leave Programs
Educational Assistance
Disability, Life and Accidental Death Insurance
Paid Vacation
Up to two days of paid leave for volunteering

Qualifications

  • Excellent communication skills and the ability to convey information clearly.
  • Experience leading complex projects and customer relationships.
  • Extensive experience in data science, machine learning, and statistical modeling.
  • Advanced programming skills in Python, R, or data analysis languages.

Responsibilities

  • Building models, performing analytics, and creating AI features.
  • Developing and implementing advanced machine learning algorithms.
  • Collaborating with stakeholders to leverage company data.
  • Providing technical expertise in statistical analysis.
  • Leading the development and deployment of predictive models.

Skills

Data science
Machine learning
Statistical modeling
Python
R
Communication

Education

Master’s or doctorate in Computer Science, Statistics, Mathematics, or related field
Job description
Overview

The Senior Data Scientist II will leverage advanced analytics and machine learning techniques to extract insights from complex data sets. They will collaborate with cross-functional teams to drive data-driven decision-making and contribute to innovative solutions in data science.

Responsibilities
  • Building models, performing analytics, and creating AI features
  • Developing and implementing advanced machine learning algorithms to solve complex business problems
  • Collaborating with stakeholders to identify opportunities for leveraging company data to drive business solutions
  • Providing technical expertise in statistical analysis, data mining, and data visualization
  • Contributing to the continuous improvement of data science processes and methodologies
  • Leading the development and deployment of predictive models and algorithms
Qualifications
  • Have a Master’s or doctorate in Computer Science, Statistics, Mathematics, or related field
  • Have excellent communication skills and the ability to convey information clearly to a wide audience
  • Be a natural problem solver and able to take a lead in collaborating to resolve issues
  • Have experience in leading complex projects and customer relationships
  • Possess extensive experience in data science, machine learning, and statistical modeling, demonstrating a deep understanding and proficiency in these areas
  • Possess advanced programming skills in Python, R, or other relevant languages for data analysis
Work in a way that works for you

We promote a healthy work / life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer :

  • Health plan benefits
  • Employee Assistance Program
  • Retirement Benefits
  • Various Leave Programs
  • Educational Assistance
  • Disability, Life and Accidental Death Insurance
  • Paid Vacation
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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