Data Scientist II

Data Scientist II
 

Are you a seasoned data scientist with a passion for search technology and a track record of delivering impactful results?
 

Come join an innovative team disrupting how researchers worldwide discover knowledge through our products?
 

About our Team
 

Our knowledge Discovery group is pushing the boundaries of search and knowledge discovery technologies for researchers by leveraging data and machine learning techniques to deliver intuitive and user-friendly search experiences. As a senior data scientist on this team, you will have the opportunity to work on impactful projects, collaborate with talented individuals, and drive innovation in search technology.
 

About the Role
 

We are seeking an experienced data scientist to join our Search Engineering team. The role entails developing advanced search technology and requires expertise in information retrieval, data analysis, statistical modelling, and machine learning. The ideal candidate should be passionate about delivering impactful data-driven solutions.
 

Responsibilities
 

• Experimenting with and propose scalable solutions blending Generative AI & Traditional Information Retrieval - AI Powered Knowledge Discovery.
• Leading the development and implementation of advanced predictive models and algorithms to elevate the relevance and accuracy of our search results.
• Cleaning, process, and analyze vast data sets to inform the optimization of our search systems and drive business impact.
• Collaborating with cross-functional teams to define and solve complex business problems using data and machine learning techniques.
• Staying abreast of the latest developments in data science and machine learning and drive the adoption of new generative ai techniques and tools within the team.

Requirements
 

• Understands modern ML techniques in Information Retrieval including NLP, Semantic Search and Learning to Rank
• understand Knowledge Graphs and their application in search
• Exceptional programming skills in Python, with demonstrated proficiency in libraries such as Pandas, Numpy, and scikit-learn.
• Proven ability to solve complex problems and turn data insights into actionable recommendations.

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
 

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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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