Senior Data Scientist I

Are you interested in working with data and analytics to solve problems?

Are you interested in bringing your GenAI, ML and NLP expertise to projects?

About the team

We design and deliver data-driven solutions that assist researchers, reviewers, and editors on the submission to publication journey, promoting scientific research quality, impact, and integrity. The team collaborates closely with product, engineering, and domain experts to turn complex data into scalable, high impact capabilities.

About the role

As a Senior Data Scientist, you will lead and drive the development and implementation of our Machine Learning (ML) and Large Language Model (LLM) based capabilities, overseeing the lifecycle of data science projects. Your role will involve the development and refinement of models, the guidance of junior data scientists, and the collaboration with cross-functional teams to innovate and scale our data science initiatives.

Responsibilities

• Spearhead data collection, analysis, and advanced model development, focusing on classification, deep learning, and innovative techniques.
• Define and assess quality metrics, present high-level insights to stakeholders, and guide junior team members.
• Design and oversee the creation of sophisticated, production-ready Python libraries for data science pipelines.
• Collaborate extensively with technology teams to ensure seamless deployment and scalability.
• Take charge of integrating data science components and conducting rigorous quality assessments, leveraging expertise in large language models.
• Establish resilience against model drift and develop comprehensive maintenance strategies, including automated model re-training protocols.
• Develop comprehensive reporting mechanisms for pipeline performance.
• Lead the implementation of automatic re-training strategies for existing pipelines, ensuring continuous optimization.

Requirements

• Minimum of 4 years of relevant applied experience and a master’s degree or higher in computer science, data science, artificial intelligence, mathematics, statistics, or related quantitative fields; alternatively, at least 5 years of relevant experience.
• Considerable experience leading complex data science projects is highly valued.
• Demonstrated expertise in Python, with a proven track record of delivering high-quality, production-ready code following best practices, while mentoring junior team members.
• Extensive hands-on experience in advanced classification, regression, clustering, and deep learning techniques.
• Mastery in neural networks, large language models, and cutting-edge ML algorithms.
• Expertise in Scikit-learn, PyTorch, and/or Tensorflow at an advanced level.
• Mastery in utilizing and integrating large language models for sophisticated natural language processing tasks, guiding the team in leveraging these models effectively.
• Mastery in data processing, cleaning, and analysis, with advanced expertise in tools like Pandas, NumPy, Matplotlib, and SciPy.
• Exceptional communication and presentation skills, especially in conveying complex data science concepts to both technical and non-technical stakeholders.
• Demonstrated ability to strategically solve complex problems and translate intricate requirements into effective solutions.
• Demonstrated commitment to continuous learning and a keen interest in mentoring junior team members, driving innovation, and staying updated in MLOps and data science productionization.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. 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 for you

At Elsevier, 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

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. The company combines quality information and vast data sets with analytics to support science and research, health education and interactive learning, as well as healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future through innovative technologies that support science and healthcare.