Senior Data Scientist II

LexisNexisRaleigh, NC
8d

About The Position

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 Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of data Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. 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.

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.
  • Have experience and knowledge of applying LLMs including models of GPT, Claude, Mistral, Phi family.
  • Knowledge of advanced prompting techniques and agent-based solutions
  • 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.
  • Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
  • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.

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
  • Research, build, and deploy models based on both shallow and deep machine learning.
  • Train robust NLP-based models a very large corpus of data
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
  • 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
  • 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
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