Senior Data Scientist II

LexisNexis Canada Inc. Company; Ontario; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company in Canada is seeking a Senior Data Scientist II to leverage advanced analytics and machine learning techniques. This role involves collaborating with cross-functional teams to drive data-driven decisions and contribute to innovative solutions in data science. The ideal candidate will have extensive experience in data science and advanced programming skills.

Qualifications

• Extensive experience in data science, machine learning, and statistical modeling.
• Experience in leading complex projects and customer relationships.

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

Communication

Problem Solving

Education

Master's or doctorate in Computer Science

Master's or doctorate in Statistics

Master's or doctorate in Mathematics

Tools

Python

R

Job description

Senior Data Scientist II

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 :

1. Building models, performing analytics, and creating AI features
2. Developing and implementing advanced machine learning algorithms to solve complex business problems
3. Collaborating with stakeholders to identify opportunities for leveraging company data to drive business solutions
4. Providing technical expertise in statistical analysis, data mining, and data visualization
5. Contributing to the continuous improvement of data science processes and methodologies
6. 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.