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Senior Data Scientist III (Remote)

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Full time
Salary: 
67 - 67K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
North Carolina (USA), United States

Offer summary

Qualifications:

Advanced or Master's degree in Computer Science, Mathematics, Statistics or related field., Experience with large language models and transformer architectures., Proficient in big data technologies like Hadoop, Spark, or AWS., Advanced programming skills in Python or R..

Key responsabilities:

  • Design, develop, and deploy AI solutions.
  • Lead development of advanced AI and machine learning models.
  • Analyze large datasets for pattern identification.
  • Collaborate with cross-functional teams on AI solutions.
Elsevier logo
Elsevier XLarge https://www.elsevier.com
5001 - 10000 Employees
About Elsevier
As a global leader in information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. In everything we publish, we uphold the highest standards of quality and integrity. We bring that same rigor to our information analytics solutions for researchers, health professionals, institutions and funders. Elsevier employs 8,700 people worldwide. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress. With the Elsevier Foundation and our external Inclusion & Diversity Advisory Board, we work in partnership with diverse stakeholders to advance inclusion and diversity in science, research and healthcare in developing countries and around the world.
See more Elsevier offers

Job description

Responsibilities

  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.

  • Leading the development of advanced AI and machine learning models to solve complex business problems

  • Analyzing large datasets to identify patterns and trends that can inform AI development.

  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.

  • Leading the automation and lifecycle management of sophisticated data systems.

  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices.

  • Designing APIs for disseminating data science outputs to various business units.

  • Overseeing the scaling of production systems to meet growing demands.

Requirements

  • Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.

  • Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.

  • Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.

  • Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.

  • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.

  • Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests

  • Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

LexisNexis, a division of RELX, 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.

Please read our Candidate Privacy Policy.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Computational IntelligenceLarge Language ModelingMachine LearningComputer ProgrammingSparkrDeep LearningAPI ManagementAmazon Web ServicesApache HadoopBig Data AnalyticsData Analysis

Other Skills

  • Collaboration
  • Mentorship
  • Problem Solving
Are you interested?

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