Senior Data Scientist I

2 weeks ago


Raleigh, NC, United States RELX Group plc Full time
Do you want to help us build further data science capabilities?

And are you eager to work on the quality of data sources serving our end-user products?

About our Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is a part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role:

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.

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.
  • Evaluating and creating new frameworks and defining methodologies and governance.
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
  • Working with product leaders to apply data science solutions.
  • Leading small- to medium-sized teams (direct or indirect).
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.


U.S. National Base Pay Range: $93,400 - $155,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.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 to our US full- and part-time employees working at least 20 hours or more per week:• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan• Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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 or please contact 1-855-833-5120.

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We are 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.

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