Senior Data Scientist III

LexisNexis; Quebec; On-site; CAD 100,000 - 125,000; Full time

Job summary

An innovative firm is seeking a talented AI and Machine Learning Specialist to join their dynamic team. This role involves designing and deploying advanced AI solutions, collaborating with cross-functional teams, and mentoring junior data scientists. You will lead the development of sophisticated machine learning models, analyze large datasets, and ensure that AI initiatives align with business objectives. This is an exciting opportunity to work with cutting-edge technologies and make a significant impact in a forward-thinking environment that values creativity and collaboration.

Qualifications

• Advanced degree in Computer Science or related field required.
• Experience with large language models and AI technologies essential.

Responsibilities

• Lead AI model development to solve complex business challenges.
• Mentor junior data scientists and oversee data system automation.

Skills

Problem Solving

Machine Learning

Collaboration

Mentoring

Education

Master's in Computer Science

Bachelor's in Mathematics

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.

• Leading the automation and lifecycle management of sophisticated data systems.

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

• Designing APIs for disseminating data science outputs to various business units.

• Overseeing the scaling of production systems to meet growing demands.

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.