Data Scientist III

Job Description: Senior Data Scientist

Company Overview
Elsevier is part of the Reed Elsevier Group plc., a world-leading provider of professional information solutions in science and health, legal, risk management, and business-to-business sectors. As the world’s leading provider of science and health information, Elsevier serves more than 30 million scientists, students, and health and information professionals worldwide. Headquartered in Amsterdam, we are a global company employing more than 7,000 people in 24 countries. We help customers advance science and health by providing world-class information and innovative tools that help them make critical decisions, enhance productivity, and improve outcomes.

Culture:
Our working culture is highly respectful, stimulating, and diverse, enabling bright, passionate people to do their best work. We offer challenging but realistic objectives, recognition for achievement, and the opportunity to challenge the status quo. We’re a truly global company, working across geographies every day with our people sharing a passion for health and science. Our people are pragmatic, commercial, work collaboratively, and are excellent relationship builders. We offer an opportunity to make a difference in people’s lives by helping the health and science communities find and use trusted, high-quality information.

Career:
Learning is at the heart of everything we do, and our people take their development and progress seriously, as do we. Because of our global reach, opportunities are available locally and globally, and our breadth of opportunity offers the chance to build a varied career across different functions and divisions. You will have the opportunity to work at the forefront of technological development and to contribute to change. People with the right attitude have the chance to contribute far beyond their role.

Position: Senior Data Scientist

Responsibilities:
– Lead and manage data science projects involving multiple stakeholders.
– Utilize deep knowledge of advanced concepts in Machine Learning, Information Retrieval, Natural Language Processing, and Generative AI.
– Work on projects that intensively use Generative AI and Large Language Models (LLMs).
– Fine-tune LLMs and be familiar with multi-agent frameworks.
– Code proficiently using open-source libraries and frameworks such as scikit-learn, Apache Mahout, Shogun, Spark Mllib, H2O, TensorFlow, Keras, Deeplearning4j, Torch/PyTorch, and Caffe.
– Work extensively with Python and another programming language.
– Operate in big data environments (e.g., SPARK) and cloud environments (e.g., AWS).

Qualifications:
– MSc or PhD in Machine Learning, Data Mining, AI, Statistics, Advanced Computing, Health Informatics, Bioinformatics, Cheminformatics, or a related field.
– Proven experience in using LLMs for various purposes and fine-tuning them.
– Strong background in Machine Learning, Information Retrieval, Natural Language Processing, and Generative AI.
– Experience in leading data science projects and managing stakeholders.
– Proficiency in Python and another programming language.
– Experience with big data environments and cloud platforms.

Join Us:
If you are passionate about making a difference in the world of science and health, and you have the skills and experience we are looking for, we would love to hear from you. Join us at Elsevier and be part of a team that is dedicated to advancing science and health through innovative solutions.
 

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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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