Manager Data Science

Posted 8 Days Ago
Be an Early Applicant
Raleigh, NC, USA
In-Office
115K-192K Annually
Expert/Leader
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
The Role
Lead and mentor data science teams to design, develop, and deploy advanced AI/ML solutions (including LLMs and agentic AI). Define strategy, methodologies, and governance; analyze large datasets; collaborate cross-functionally; communicate insights to stakeholders; and drive best practices and high standards for model development.
Summary Generated by Built In

Are you ready for a leading role? 

Would you enjoy working on our cutting-edge products? 

About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

As a Manager, Data Science, you will be a subject matter expert, defining projects and their execution. Leading direct and indirect reports, you'll influence and mentor distributed teams in best practices and methodologies.

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 work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Key Responsibilities

  • Lead the development of advanced AI and machine learning models to solve complex business problems.

  • Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

  • Work with cross-functional teams to ensure AI solutions align with business goals and customer needs.

  • Analyze large datasets to identify patterns and trends that inform AI development.

  • Communicate findings and insights to stakeholders in a clear and concise manner.

  • Stay current with the latest AI and machine learning trends and technologies.

  • Mentor junior data scientists and provide guidance on best practices.

  • Drive best practices across data science functions.

  • Set strategy and team direction, with a clear vision for Data Science.

  • Work with product leaders to apply data science solutions.

  • Evaluate and create new frameworks, define methodologies and governance.

  • Lead small- to medium-sized teams (direct or indirect).

  • Set a high bar for model development.

Requirements

  • Substantial experience in a senior data scientist role.

  • Experience leading complex projects and customer relationships.

  • Significant experience managing larger technical teams (direct or indirect).

  • Experience mentoring or training others, acting as a subject matter expert.

  • Natural problem solver, able to lead collaboration to resolve issues.

  • Excellent communication skills, able 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.

  • 5 + years of people management experience.

  • 10 + years of experience in AI and machine learning.

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

  • Experience with design and delivery of Agentic AI solutions.

  • Experience with large language models and Transformer-based architectures (BERT, RoBERTa, T5, etc.).

  • Working knowledge of recent LLMs (ChatGPT, GPT 3.5, OPT, BLOOM, etc.).

  • Experience with reinforcement learning, prompt engineering, hallucination mitigation.

  • Understanding of business risks associated with applying LLMs.

  • Experience with large datasets and distributed computing systems (Hadoop, Spark).

  • Strong coding skills in Python or another programming language.

  • Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.

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

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • Substantial experience in a senior data scientist role.
  • Experience leading complex projects and customer relationships.
  • Significant experience managing larger technical teams (direct or indirect).
  • Experience mentoring or training others, acting as a subject matter expert.
  • Natural problem solver, able to lead collaboration to resolve issues.
  • Excellent communication skills, able to convey information clearly to senior stakeholders.
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of people management experience.
  • 10+ years of experience in AI and machine learning.
  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.
  • Experience with design and delivery of Agentic AI solutions.
  • Experience with large language models and Transformer-based architectures (BERT, RoBERTa, T5, etc.).
  • Working knowledge of recent LLMs (ChatGPT, GPT 3.5, OPT, BLOOM, etc.).
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation.
  • Understanding of business risks associated with applying LLMs.
  • Experience with large datasets and distributed computing systems (Hadoop, Spark).
  • Strong coding skills in Python or another programming language.
  • Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and the ability to think outside the box.

LexisNexis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.

  • Healthcare Strength Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
  • Retirement Support Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
  • Leave & Time Off Breadth Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.

LexisNexis Insights

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The Company
HQ: New York City, NY
10,001 Employees
Year Founded: 1970

What We Do

LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.

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