Are you eager to enhance the quality of data sources that serve our end-user products? Do you want to apply your Machine Learning and NLP expertise to impactful projects?

About Our Team

Our team operates within the Data Operations department, maximizing the value of Elsevier's high-quality scientific content. We handle high-visibility projects, leveraging Data Science, Machine Learning, and NLP expertise. We are responsible for end-to-end development, aiming to extract valuable information from scientific content published or submitted for publication.

About the Role

As a Data Scientist, you will bring your Data Science, Machine Learning, and NLP expertise to various projects. You will collaborate with technology teams, product managers, and domain experts to build high-value data products and capabilities based on our extensive catalog of scientific content. Your work will significantly impact processes that affect our customer-facing products.

Responsibilities

• Collaborate with Product Owners and Software Engineers to translate business needs into data science projects and define quality metrics.
• Propose end-to-end solutions for complex problems in content analysis, utilizing diverse technical and human resources.
• Develop and report Machine Learning models by analyzing data requirements to identify improvements in methodology and performance.
• Ensure best practices are followed, such as experiment reproducibility and responsible data science principles, to align processes.
• Work with the Machine Learning Ops team to deliver robust deployment and usage of Machine Learning models in production.
• Suggest and implement innovative ideas to improve operations content, leveraging new methods, resources, and perspectives.

Requirements

• Hold at least a BSc degree in a technological or quantitative field with two to five years of experience.
• Display excellent knowledge of deep learning models such as LLMs, Transformers, Graph Networks, and Multimodal networks.
• Proficiency in working with either Pytorch or TensorFlow.
• Demonstrate deep knowledge of advanced Machine Learning concepts and the state-of-the-art (SoTA) techniques.
• Coding proficiency using related open-source libraries and frameworks.
• Strong knowledge of modern Python programming.
• Understand and execute complex methods within your discipline, industry, and domain.
• Ability to scope and build best practices around the usage of Data Science frameworks.

Work in a Way That Works for You

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we offer an appealing working prospect for our employees. We support your immediate responsibilities and long-term goals through numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.

• Flexible hybrid working pattern, combining remote work from home with office days.
• Flexible working hours, allowing you to adjust your work times during the day.

Working with Us

We are an equal opportunity employer committed to your success. You will find an inclusive, agile, collaborative, innovative, and fun environment where everyone plays a part. Regardless of the team you join, we promote a diverse environment with co-workers passionate about their work and its execution.

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:

• Comprehensive Health Insurance: Covers you, your immediate family, and parents.
• Enhanced Health Insurance Options: Competitive rates negotiated by the company.
• Group Life Insurance: Ensuring financial security for your loved ones.
• Group Accident Insurance: Extra protection for accidental death and permanent disablement.
• Flexible Working Arrangement: Achieve a harmonious work-life balance.
• Employee Assistance Program: Access support for personal and work-related challenges.
• Medical Screening: Your well-being is a top priority.
• Modern Family Benefits: Maternity, paternity, and adoption support.
• Long-Service Awards: Recognizing dedication and commitment.
• New Baby Gift: Celebrating the joy of parenthood.
• Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.

About Us

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

Join Us

Are you ready to help us advance science and health? Our technology drives innovation, so join a forward-thinking digital business tackling world-scale challenges and align your ambitions with our passion for driving global knowledge-sharing.

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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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