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Manager Data Science

Job in Raleigh, Wake County, North Carolina, 27697, USA
Listing for: LexisNexis Legal & Professional®
Full Time position
Listed on 2026-01-05
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 113100 USD Yearly USD 113100.00 YEAR
Job Description & How to Apply Below
This job is with Lexis Nexis Legal & Professional®, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. *
* 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   :
Lexis Nexis, 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 Manager, Data Science, 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

7-10+ 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…
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