Lead Data Scientist

LexisNexis • Raleigh, NC

7d • Remote

About The Position

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. The Senior Data Scientist III contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject matter experts. Additionally, they collaborate with other data scientists and engineers to design cutting-edge AI solutions. The role also involves leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members.

Requirements

• Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
• Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Responsibilities

• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Leading the development of advanced AI and machine learning models to solve complex business problems
• Analyzing large datasets to identify patterns and trends that can inform AI development.
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Leading the automation and lifecycle management of sophisticated data systems.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Designing APIs for disseminating data science outputs to various business units.
• Overseeing the scaling of production systems to meet growing demands.

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
• 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: Mid Level
• Number of Employees: 5,001-10,000 employees