Senior Data Scientist II

4 days ago

Toronto, Ontario, Canada LexisNexis Risk Solutions Full time
About Our Team

LexisNexis Risk Solutions is a leading provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying artificial intelligence and advanced technologies to the risk management market to improve productivity and transform the overall business and practice of risk assessment.

About the Role

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.

Responsibilities
  1. Collaborate with cross-functional teams to design, develop, and deploy AI solutions that meet business objectives and customer needs.
  2. Lead the development of advanced AI and machine learning models to solve complex business problems and drive business growth.
  3. Analyze large datasets to identify patterns and trends that can inform AI development and drive business decisions.
  4. Evaluate and create new frameworks and methodologies to ensure AI solutions are aligned with business goals and customer needs.
  5. Mentor junior data scientists and provide guidance on AI and machine learning best practices.
  6. Work with product leaders to apply data science solutions and drive business outcomes.
  7. Lead small- to medium-sized teams (direct or indirect) to achieve business objectives.
Requirements
  1. Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
  2. Have experience working directly with large language models and transformer-based architectures, including BERT, RoBERTa, T5, etc.
  3. Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
  4. Have experience and knowledge of applying LLMs, including ChatGPT, GPT 3.5, Claude, Mistral, etc.
  5. Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
  6. Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
  7. Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
What We Offer

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

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

  • Employee Assistance Program
  • Various Leave Programs
  • Educational Assistance
  • Disability, Life and Accidental Death Insurance
  • Paid Vacation
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.

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