This Job Posting is Expired.
Job Description
Data Scientist
Can you tackle some of the hardest data science challenges to solve pressing customer needs?
We are looking for a talented and collaborative colleague to join our ranks!
At Elsevier, we help the world of research to make high-value decisions with confidence through a rich portfolio of services and products such as Scopus, Pure, and SciVal. The high-quality connected data and insights that these products provide come from our Research Data Platform (RDP), the data powerhouse of Elsevier’s analytics business. We are looking for a senior data scientist to join our RDP team and further advance our entity extraction and linking capabilities.
About our Team
In 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 all the way to topics and concepts that characterize what research is about. 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 to power Elsevier’s products. You will work closely with our engineers, architects, product managers and other data scientists within the Funding domain. You continually improve our best-in-class disambiguation systems and integrate data from a diverse set of data sources that include millions of research artefacts. You maintain and develop systems and models that scale well.
Responsibilities
- Being passionate about the possibilities of creating value for customers by interconnecting data and improving the quality and richness of data at scale;
- Working with others as part of a team to achieve a common goal, and you are eager to contribute and put your ideas across;
- Willing to learn new things and come up with practical solutions to technical challenges.
Requirements
- Have hands-on experience developing (components of) large scale data science solutions;
- Have a formal qualification in computer science, computational linguistics, data science, machine learning, or other quantitative disciplines;
- Have demonstrable coding skills in Python;
- Have knowledge of applying machine learning techniques;
- Experience with databases, NoSQL data stores and knowledge of SQL.
View Orignal JOB on: italents.net
Work in a way that works for you
We promote a healthy work/life balance across the organisation. 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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