** Please note that we are open to hiring remotely within the United States, Canada or South Africa for this role **
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
Join us in shaping a more just world.
About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
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 in leading 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:
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.
Acting as the primary driver of analytic project and results
Leading code reviews and acting as a final approver of models before reaching customers
Setting a high-bar for model development
Evaluating and creating new frameworks and defining methodologies and governance
Managing small- to medium-sized teams (direct or indirect)
Requirements:
PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
7+ 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.
Have experience in leading complex projects and customer relationships
Have substantial experience in a data scientist role, with an aptitude to manage others
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 a wide audience