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Senior Data Scientist III - 0125-US-011

RELX

Pennsylvania

On-site

USD 120,000 - 160,000

Full time

13 days ago

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Job summary

A leading company in technology is seeking a Senior Data Scientist III to enhance their AI evaluation capabilities. You will lead projects focused on NLP solutions within the healthcare sector, ensuring high-quality generative AI models. The role demands expertise in data science along with mentoring abilities.

Benefits

Health Benefits
401(k) with match
Wellness platform with incentives
Short-and-long term disability insurance
Family benefits including bonding leave
Health Savings Accounts

Qualifications

  • 2+ years post-PhD, 5+ years post-Master's or 10+ years post-Bachelor's experience required.
  • Expertise in Generative AI model evaluation necessary.
  • Healthcare domain knowledge highly desirable.

Responsibilities

  • Design experiments to assess generative AI model performance.
  • Develop metrics, benchmarks, and evaluation frameworks.
  • Integrate data science components and conduct quality assessments.

Skills

NLP
Generative AI
Python
SQL
R
Java
Machine Learning
Deep Learning
GitLab/GitHub

Education

Advanced degree in computer science or data science

Job description

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Do you have expertise in evaluating and implementing Generative AI models?

Are you passionate about applying data science to advance healthcare and education?

About Our Team

Elsevier is singularly focused on helping healthcare and health education professionals improve clinical outcomes through evidence-based methods. Our data science team works on designing, building, and maintaining NLP solutions for Generative AI Evaluation of Health and Health Education applications.

About The Role

We are seeking an experienced Senior Data Scientist III to join our Applied AI Evaluation team. You will lead the design, implementation, and maintenance of NLP solutions for Generative AI evaluation, focusing on CK AI and Sherpath AI products. This role requires expertise in data science, mentoring capabilities, and the ability to deliver production-ready solutions.

Responsibilities

  • Designing and conducting experiments to assess generative AI model performance
  • Developing metrics, benchmarks, and evaluation frameworks
  • Creating production-ready Python packages for evaluation pipeline components
  • Evaluating AI models against healthcare domain standards
  • Integrating data science components and conduct quality assessments
  • Developing automated evaluation and maintenance tools
  • Mentoring junior team members and providing technical leadership
  • Collaborating with technology teams for pipeline deployment
  • Implement and maintain product performance reporting
  • Contributing to new methodologies and governance frameworks

Requirements

  • Advanced degree in computer science, data science, AI, mathematics, or statistics
  • 2+ years post-PhD or 5+ years post-Master's or 10+ years post-Bachelor's relevant experience
  • Expertise in Generative AI model evaluation and metric development
  • Proficiency in Python, SQL, R, and Java
  • Experience with ML algorithms, deep learning, and neural networks
  • Strong background in GitLab/GitHub and cloud computing
  • Proven experience with *nix systems and Jupyter notebook hubs
  • Ability to build and test new processes while mentoring others
  • Healthcare domain knowledge highly desirable
  • Track record of developing novel code solutions and best practices

Working for you

Benefits

We know that your wellbeing 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

Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Technology, Information and Media

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