Manager Data Science

Reed Technology • Raleigh, NC

13d • Onsite

About The Position

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (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). 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 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.

Requirements

• Have substantial experience in a senior data scientist role
• Experienced in leading complex projects and customer relationships
• 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

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
• Wellbeing: 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1,001-5,000 employees