Senior Data Scientist III

LexisNexis Canada Inc. Company; Quebec; On-site; CAD 100,000 - 130,000; Full time

Job summary

LexisNexis Canada is seeking a Senior Data Scientist III to drive new product development through data-driven AI solutions. This role focuses on developing advanced AI models, collaborating with engineering teams, and mentoring junior staff. Join a company that champions work-life balance and offers extensive health and retirement benefits.

Benefits

Health Benefits

401(k) with match

Wellness platform with incentives

Employee Assistance Programs

Family Benefits

Paid leave for volunteering

Qualifications

• Advanced education in relevant field required.
• Experience with large language models and big data technologies.
• Proficient in Python, R, or relevant languages for data analysis.

Responsibilities

• Lead AI and machine learning model development.
• Analyze large datasets to identify trends for AI solutions.
• Collaborate with cross-functional teams and mentor junior data scientists.

Skills

Problem Solving

Machine Learning

Collaboration

Mentoring

Data Analysis

Education

Master's in Computer Science, Mathematics, Statistics, or related field

Tools

Hadoop

Spark

AWS

Job description

The Senior Data Scientist III contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject matter experts. Additionally, they collaborate with other data scientists and engineers to design cutting-edge AI solutions. The role also involves leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members.

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 provide 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.

Work in a way that works for you

We promote a healthy work / life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer

Health Benefits : Comprehensive, multi-carrier program for medical, dental and vision benefits

Retirement Benefits : 401(k) with match and an Employee Share Purchase Plan

Wellbeing : Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits

Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice