Senior Data Scientist III

LexisNexis Risk Solutions; Ontario; On-site; CAD 85,000 - 110,000; Full time

Job summary

A leading company in the data solutions sector is seeking a Data Scientist to spearhead AI and machine learning initiatives. The role involves collaborating with teams to develop innovative solutions, analyzing complex datasets, and mentoring junior staff. Ideal candidates will have advanced degrees and experience with large language models and big data technologies.

Qualifications

• Experience with large language models and transformer architectures.
• Proficient in machine learning algorithms and programming in Python or R.

Responsibilities

• Lead development of AI and machine learning models.
• Analyze datasets to inform AI development.
• Mentor junior data scientists.

Skills

Problem Solving

Collaboration

Education

Master's in Computer Science

Master's in Mathematics

Master's in Statistics

Tools

Hadoop

Spark

AWS

Job description

• 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.