Senior Data Scientist II

RELX; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

A global analytics company is looking for a Senior Data Scientist II to leverage advanced analytics and machine learning techniques. The role involves building predictive models and collaborating with cross-functional teams to drive data-driven decision-making. Candidates should possess a Master's or doctorate in a relevant field, extensive experience in data science, and advanced programming skills. This position also emphasizes a healthy work/life balance and offers a range of benefits, including health plan benefits and educational assistance.

Benefits

Health plan benefits

Employee Assistance Program

Retirement Benefits

Educational Assistance

Paid Vacation

Qualifications

• Extensive experience in data science, machine learning, and statistical modeling.
• Leadership in complex projects and customer relationships.
• Ability to convey information clearly to a wide audience.

Responsibilities

• Building models, performing analytics, and creating AI features.
• Developing and implementing advanced machine learning algorithms.
• Leading the development and deployment of predictive models.

Skills

Problem-solving

Communication

Collaboration

Education

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

Tools

Python

R

Job description

About the Role

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

Requirements

• 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