ElsevierEL

Senior Data Scientist III - 0125-US-011

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. It has evolved from a traditional publisher into a company that provides digital solutions and tools for data management, instruction, research analytics, and assessment.

Elsevier

Employee count: 5000+

United States only

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

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.

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Elsevier

Learn more about Elsevier and their company culture.

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At Elsevier, our core mission is to help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. This purpose has been the driving force behind our evolution from a traditional publisher, with a rich history spanning over 140 years, into a global leader in information and analytics. We are committed to facilitating insights and critical decision-making for our customers across the global research and health ecosystems. Our culture is one that cultivates collaboration and encourages the cross-pollination of groundbreaking ideas. We strive to make complex subject matter user-friendly and to transform theoretical knowledge into actionable solutions. The support we provide to the world's most progressive thinkers and clinicians is instrumental in creating a better world and fostering a sustainable future for everyone.

Our team of over 9,700 employees, spread across 46 countries, serves customers in 180 nations worldwide. This global presence allows us to understand and address the diverse needs of academic and government institutions, research-intensive corporations, healthcare organizations, and students. We believe in empowering our people to make the right decisions and hold ourselves accountable for delivering the best outcomes, all while striving for meaningful innovation. Continuous learning is a cornerstone of our environment; we encourage curiosity to stimulate innovation for the communities we serve. The Elsevier Experience is built on three pillars: purposeful work, growing every day, and a commitment to wellness and wellbeing. We understand the critical link between work, health, and wellbeing, and our leadership and employees collaboratively foster a connected, caring, supportive, and nurturing workplace. We champion a healthy work-life balance, recognizing its importance not only for individual health and relationships but also for enhancing performance and dedication. By enabling our people to thrive, we cultivate a work environment where they are dedicated, mindful, and empowered to contribute to our overarching mission of advancing knowledge and improving lives.

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Elsevier hiring Senior Data Scientist III - 0125-US-011 • Remote (Work from Home) | Himalayas