** Please note that our team is concentrated in Raleigh, NC, but we are open to hiring remotely across the United States **
Do you want to help us build further data science capabilities?
And are you eager to work on the quality of data sources serving our end-user products?
About our Team
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.
About the Role
As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.
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.
-
Evaluating and creating new frameworks and defining methodologies and governance.
-
Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
-
Working with product leaders to apply data science solutions.
-
Leading small- to medium-sized teams (direct or indirect).
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.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
-
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
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#InnoGlobal #InnoUS
Salary Range
To be added when data can be disclosed
