Manager Data Science

LexisNexis•Raleigh, NC

22h•Onsite

About The Position

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. 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.

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

Nice To Haves

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

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

Benefits

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
Comprehensive, multi-carrier program for medical, dental and vision benefits
401(k) with match and an Employee Share Purchase Plan
Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice