Edtech.com's Summary

Elsevier is hiring a Senior Data Scientist responsible for leading complex analytical projects and designing, implementing, and maintaining NLP solutions for Generative AI evaluation in healthcare applications. The role involves collaborating with cross-functional teams, shaping data strategies, and driving innovation to improve clinical outcomes.

Highlights

Lead design and implementation of NLP solutions for Generative AI evaluation.
Collaborate with architecture, data engineering, and stakeholders to develop reusable AI systems.
Drive automated assessments of GenAI systems and implement data asset strategies for analytics monetization.
Advanced degree in Data Science, Computer Science/Engineering, Statistics, Mathematics, Linguistics, or related fields required.
Expertise in advanced analytics, AI/ML, predictive modeling, MLOps, Generative AI, prompt engineering, and RAG systems.
Proficient in Python and software engineering practices for algorithm development, data manipulation, and visualization.
Experience deploying commercial data science projects in production; healthcare industry experience is a plus.
Knowledge or willingness to learn data engineering and software engineering principles to support production deployment.
Work focuses on healthcare and health education to improve patient outcomes through evidence-based data science.
Benefits include comprehensive health plans, 401(k) with match, employee share purchase, wellness programs, family and disability benefits.

Senior Data Scientist Full Description

Senior Data Scientist

Pennsylvania

North Carolina

Full time

Are you a data-driven problem solver ready to take your impact to the next level? Join us as a Sr Data Scientist, where you'll lead complex analytical projects, shape data strategy, and drive innovation that fuels real-world results?

Ready to apply your advanced data science skills to solve high-impact problems and shape the future?

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 Data Scientist III to join our team. You will be entrusted with the design, implementation, and maintenance of NLP solutions for Generative AI evaluation.

About the team; This team has crafted advanced data driven solutions to drive innovation in Health Care with the goal being to improve patient outcome.

Responsibilities

Designing approaches and writing code and services for data science and data analysis projects in a data science development life cycle
Collaborating with cross-functional teams in a diverse and multicultural environment to identify approaches for data science to improve our products or inform our customers.
Working closely with stakeholders to understand the user problem and closely with architecture and the technical team to design and implement the solution.
Collaborating with Architecture and Data Engineering on the design of AI systems with an emphasis on reusability
Contributing to DS best practices including data science governance, Responsible AI policies, and anti-bias initiatives
Owning and driving the implementation of Automated Assessment of GenAI systems (LLM-as-a-judge, goldset comparison, etc)
Implementing data asset strategy (metadata standards, data set registry, etc) to enable monetization of analytics in partnership with the business

Requirements

Possess an advanced degree (PhD or MSc) and/or equivalent experience in Data Science, Computer Science/Engineering, Statistics, Mathematics, Linguistics, or a related discipline.
Demonstrate expertise with advanced analytics methodologies, AI/ML and predictive modeling, MLOps, Generative AI, prompt engineering, and RAG systems.
Experience in using computing languages and software engineering practices (Python is preferred) to perform advanced analyses (such as algorithm development, statistical analyses or training predictive models), developing production code/models, as well as manipulating and visualizing data.
Experience working on commercial data science projects that have or will be deployed in production. Healthcare industry experience is a plus.
Experience with, or enthusiasm to learn, data engineering and software engineering principles to be an active collaborator in putting data science into production, share knowledge and drive best practices in the organization.

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

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We are 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.

Original Job Description

Senior Data Scientist

Pennsylvania

North Carolina

Full time

Ready to apply your advanced data science skills to solve high-impact problems and shape the future?

About the team; This team has crafted advanced data driven solutions to drive innovation in Health Care with the goal being to improve patient outcome.

Responsibilities

Designing approaches and writing code and services for data science and data analysis projects in a data science development life cycle
Collaborating with cross-functional teams in a diverse and multicultural environment to identify approaches for data science to improve our products or inform our customers.
Working closely with stakeholders to understand the user problem and closely with architecture and the technical team to design and implement the solution.
Collaborating with Architecture and Data Engineering on the design of AI systems with an emphasis on reusability
Contributing to DS best practices including data science governance, Responsible AI policies, and anti-bias initiatives
Owning and driving the implementation of Automated Assessment of GenAI systems (LLM-as-a-judge, goldset comparison, etc)
Implementing data asset strategy (metadata standards, data set registry, etc) to enable monetization of analytics in partnership with the business

Requirements

Possess an advanced degree (PhD or MSc) and/or equivalent experience in Data Science, Computer Science/Engineering, Statistics, Mathematics, Linguistics, or a related discipline.
Demonstrate expertise with advanced analytics methodologies, AI/ML and predictive modeling, MLOps, Generative AI, prompt engineering, and RAG systems.
Experience in using computing languages and software engineering practices (Python is preferred) to perform advanced analyses (such as algorithm development, statistical analyses or training predictive models), developing production code/models, as well as manipulating and visualizing data.
Experience working on commercial data science projects that have or will be deployed in production. Healthcare industry experience is a plus.
Experience with, or enthusiasm to learn, data engineering and software engineering principles to be an active collaborator in putting data science into production, share knowledge and drive best practices in the organization.

Working for you

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Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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