Senior Data Scientist
 

Can you develop scalable data science solutions?
 

Are you collaborative and willing to learn?
 

About our Team
 

In Research Data Platform (RDP), we are describing the world of scientific research as accurately as possible by profiling a wide range of entities, from People and Organizations to research artefacts such as Publications and Grants. Our entity-linking and disambiguation systems integrate data from a diverse set of sources that include millions of research articles to demonstrate market leading performance. The RDP team is large, full of talented people, and highly cross-functional and collaborative: As a data scientist, you will be working together with software engineers, analysts, product managers, and architects on selected areas of focus, and be part of the wider RDP Data Science team.
 

About the Role
 

Your focus will be on improving the quality of our entity extraction and linking capabilities around funding-related data such as announced funding opportunities and awarded grants or scholarships, and do this for a wide range of science funders. Additionally, you support data science initiatives beyond the funding domain. With data quality being vital to Elsevier’s success, the focus is on measuring and improving data quality and coverage. At the same time, the increasingly large volumes of data involved requires you to maintain and develop systems and models that scale well.
 

Responsibilities
 

• Preparing, planning, and successfully delivering complete data science projects independently, by working with colleagues in a cross-functional team and interacting with all stakeholders involved;
• Improving quality, consistency, and coverage of extracted entities according to business needs and priorities set within RDP;
• Staying up-to-date on the latest techniques and technologies for entity extraction and linking;
• Providing guidance on data-related initiatives and projects within RDP.

Requirements
 

• Have hands-on experience with developing scalable data science solutions;
• Have extensive experience working in a data science role with a proven track record of deliverables;
• Have a formal qualification at least at MSc level in a quantitative field like computer science, computational linguistics, data science, machine learning, or equivalent;
• Have demonstrable coding skills in Python or Java;
• Have knowledge of statistical methods and applying machine learning techniques;
• Have worked with linked data and related technologies.

Work in a way that works for you
 

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
 

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you
 

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
 

• Dutch Share Purchase Plan
• Annual Profit Share Bonus
• Comprehensive Pension Plan
• Home, office or commuting allowance
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption and Family Care leave
• Flexible working hours
• Personal Choice budget
• Variety of online training courses and career roadshows
• Wellbeing programs and gym facility in the office
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Work from anywhere
• Employee Assistance Program (global)
• Annual Event

About the Business
 

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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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.

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