Senior Data Scientist I

Senior Data Scientist I

Want to advance your Data Scientist career?

Ready to lead projects with multiple stakeholders?

About Role

As Senior Data Scientist I, you will develop and analyze models of operational, economic, management, accounting, and other organizational data. You will quantify competitive performance, evaluate potential changes, and design new methodologies. You'll recommend solutions to complex problems, devise innovative strategies, and assess the impact of changes. You'll apply statistical, mathematical, predictive modeling, and business analysis skills to manage high-volume data from various sources.

Responsibilities

• Lead data science projects with multiple stakeholders.
• Apply advanced Machine Learning, Information Retrieval, NLP, and Generative AI concepts.
• Conduct projects using Generative AI and LLMs.
• Fine-tune LLMs and work with multi-agent frameworks.
• Use Python and another programming language.
• Operate in big data (e.g., SPARK) and cloud environments (e.g., AWS).

Requirements

• MSc or PhD in Machine Learning, AI, Statistics, or Computer Science
• Experience with LLMs and fine-tuning
• Strong background in ML, Information Retrieval, NLP, and Generative AI
• Leadership in data science projects and stakeholder management
• Proficient in Python and another programming language
• Familiarity with big data and cloud platforms

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.

"We encourage and support your participation in leading ML/IR/NLP conferences and publication of research papers, as part of our commitment to advancing both your expertise and the scientific community."

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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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