Senior Data Scientist III

LexisNexis; Ontario; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist III to develop AI solutions and machine learning models. The role involves collaborating with teams, analyzing data, and mentoring junior staff. Candidates should have advanced degrees and experience with big data technologies and LLMs.

Qualifications

• Advanced or Master's degree in relevant field.
• Experience with large language models and transformer architectures.

Responsibilities

• Leading the development of advanced AI and machine learning models.
• Analyzing large datasets to identify patterns and trends.
• Mentoring junior data scientists.

Skills

Problem Solving

Leadership

Collaboration

Education

Master's degree in Computer Science

Master's degree in Mathematics

Master's degree in Statistics

Tools

Hadoop

Spark

AWS

Python

R

Job description

Join to apply for the Senior Data Scientist III role at LexisNexis.

Responsibilities include:

1. Working closely with data scientists and engineers to design, develop, and deploy AI solutions.
2. Leading the development of advanced AI and machine learning models to solve complex business problems.
3. Analyzing large datasets to identify patterns and trends that inform AI development.
4. Collaborating with cross-functional teams to align AI solutions with business goals and customer needs.
5. Leading automation and lifecycle management of sophisticated data systems.
6. Mentoring junior data scientists and guiding best practices in AI and machine learning.
7. Designing APIs to disseminate data science outputs across business units.
8. Overseeing scaling of production systems to meet growing demands.

Minimum requirements include:

• Advanced or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• Experience with large language models and transformer architectures like BERT, RoBERTa, T5, etc.
• Proficiency with big data technologies such as Hadoop, Spark, or AWS.
• Experience with LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• Strong problem-solving skills, leadership, and collaboration abilities.
• Proficiency in machine learning algorithms, deep learning, gradient boosting, and random forests.
• Advanced programming skills in Python, R, or similar languages.