Senior Data Scientist II

LexisNexis • Raleigh, NC

2d

About The Position

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 Masters plus 5-7 years of work-related experience OR PhD with 2+ 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. Familiarity with agentic frameworks and technciques like Autogen, ADK, MCP, A2A 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.

Requirements

• Masters plus 5-7 years of work-related experience OR PhD with 2+ 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.
• Familiarity with agentic frameworks and technciques like Autogen, ADK, MCP, A2A
• 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.
• 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).

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