Senior Data Scientist III

LexisNexis; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k) with match

Wellness platform

Short-and-Long Term Disability

Family care leaves

Job summary

LexisNexis is seeking a Senior Data Scientist to lead the development of advanced AI and machine learning models. You will work closely with engineers, analyzing large datasets and guiding junior team members to ensure alignment with business objectives.

With a focus on promoting work/life balance, the role offers flexible hours and comprehensive benefits including retirement plans, wellness programs, and family support initiatives.

Qualifications

• Masters plus 7-10 years of work‑related experience or PhD with 6+ years.
• Experience with large language models including BERT and GPT.
• Proficient programming skills in Python, R, or relevant languages.

Responsibilities

• Design, develop, and deploy AI solutions.
• Mentor junior data scientists and lead small teams.
• Analyze large datasets to identify patterns for AI development.

Skills

Large language models experience

Big data technologies

Machine learning algorithms

Python programming

Education

Masters or PhD in Computer Science, Mathematics, or Statistics

Tools

Hadoop

Spark

AWS

Job description

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, 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 providing 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

• Masters plus 7-10 years of work‑related experience OR PhD with 6+ years of work‑related experience.
• 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. 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 flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

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:

• 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