Principal Data Scientist I

About the Role

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Responsibilities :

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

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

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

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

Communicating findings and insights to stakeholders in a clear and concise manner

Staying current with the latest AI and machine learning trends and technologies

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

Driving best practices across our data science functions

Setting strategy and team direction, with a clear vision for Data Science

Working with product leaders to apply data science solutions.

Evaluating and creating new frameworks and defining methodologies and governance

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

Setting a high-bar for model development

Requirements :

Have substantial experience in a senior data scientist role

Have experience in leading complex projects and customer relationships

Have significant experience in managing larger Technical teams (direct or indirect)

Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues

Be a natural problem solver, able to take a lead in collaborating to resolve issues

Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience :

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

10+ years of experience in AI and machine learning

Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests

Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.

Experience with reinforcement learning, prompt engineering, hallucination mitigation

Working understanding of the business risks associated with applying LLM in a business

Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

Strong coding skills in Python or another programming language

Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders

Strong problem-solving skills and the ability to think outside the box

Work in a way that works for you :

We promote a healthy work / life balance across the organization, with various flexible and remote working options available to employees

Working with Us :

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you :

We believe in a healthy work / life balance. 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 :

• Comprehensive, multi-carrier health plan benefits
• Disability insurance
• Dependent care and commuter spending accounts
• Life and accident insurance
• Retirement benefits (salary investment plan / employer stock purchase plan)
• Modern family benefits, including adoption and surrogacy