Principal Data Scientist

About the role, The Principal Data Scientist will perform complex research, design, and development of algorithms and models for production. You should have deep expertise in a relevant field such as natural language processing, information retrieval, or generative AI. You will work closely with stakeholders to understand the user problem that needs to be solved and with software engineers to put those solutions into production for our users.

About the Team:  Our talented team of Data Scientists and engineers work on a wide range of products in medical education and point-of-care solutions for clinicians, delivering the right information for the right patient at the right time. Our Data Science group is a diverse group that uses a wide range of AI, machine learning, and statistical methods, with an emphasis on applied data science driven by user problems and product & commercial priorities. We support innovation projects early on in ideation and discovery as well as operationalizing data science, working in an embedded model with engineering squads to develop and support data science services in production. Our problem space is largely about how to process and represent the knowledge in our documents and content to support our clinician users. 

Responsibilities 

• Understanding doctor, nurse, and patient (user) information needs to design data science, data analytics and machine learning solutions. This is critical for you success in the role.  

• Serving as domain expert in relevant analytical frameworks. 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. Possess a “Technical” skill set to communication with Technologists on an on going basis.

• Contributing to a collaborative, inclusive working environment by supporting other team members, mentoring junior data scientists, and contributing to Elsevier’s diversity, equity, and inclusion practices. 

• Fostering data science literacy and community, giving internal presentations and demos, and representing Elsevier data science externally at conferences and with publications 

Basic Qualifications 

• Possess an advanced degree (PhD or MSc and equivalent experience) in Data Science, Computer Science, Statistics, Mathematics, Linguistics, or a related discipline 
• Possess current work experience (Not Just lab experience) in expanding capacities as a Data Scientist.

• Demonstrated ability to independently plan, lead, & execute complex Data Science projects. 

• Ability to work across coding languages used in Data Science (e.g. Python, SQL) to perform advanced analyses (such as algorithm development, statistical analyses or training predictive models) as well as manipulating and visualizing data. 

• Experience working on commercial data science projects with data engineering and software engineering principles in putting data science into production. 

• Thrives on working collaboratively and enjoy supporting, learning from, and sharing knowledge with a team of people from different backgrounds. 

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