Senior Data Scientist I

LexisNexis Group; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A prominent legal-tech company in Toronto is seeking a skilled Data Scientist to lead the development of AI solutions. You will analyze large datasets, collaborate with teams, and mentor junior data scientists. A Master's degree in a related field and experience with large language models are essential. The role offers a dynamic environment with opportunities for impact.

Qualifications

• Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
• Have experience working directly with large language models and transformer-based architectures.
• Demonstrate proficient experience with machine learning algorithms, including deep learning.

Responsibilities

• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Leading the development of advanced AI and machine learning models.
• Analyzing large datasets to identify patterns and trends.

Skills

Advanced problem-solving skills

Collaboration with cross-functional teams

Mentoring junior data scientists

Education

Master's degree in Computer Science, Mathematics, or Statistics

Tools

Hadoop

Spark

AWS

Job description

Responsibilities

• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.


• Leading the development of advanced AI and machine learning models to solve complex business problems.


• Analyzing large datasets to identify patterns and trends that can inform AI development.


• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.


• Evaluating and creating new frameworks and defining methodologies and governance.


• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.


• Working with product leaders to apply data science solutions.


• Leading small- to medium-sized teams (direct or indirect).

Requirements

• Possess an advanced or Master\'s education in Computer Science, Mathematics, Statistics, or a related field.


• Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.


• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.


• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.


• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.


• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.


• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

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