Senior Data Scientist II - Raleigh, NC
USA - Raleigh, NC (RDU), United States
RELX
Make better decisions, get better results and be more productive with RELX's analytics and decision tools- Job Description
** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **
Are you looking to develop your Data Scientist experience?
Would you enjoy working on our cutting-edge products?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
About the Role
As a Senior Data Scientist II, you will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward. Your responsibilities would be to support the development and training of junior staff and to develop best practices.Responsibilities:
Working to solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.
Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data
Apply machine learning techniques for improving search algorithms.
Drive best practices for NLP/Machine Learning pipelines.
Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods, able to quickly evaluate alternatives
Translate complex business requirements into actionable stories with reasonable time estimates.
Work with product leaders to apply data science solutions.
Requirements:
In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.
Proficiency training large scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2
Min 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy
Min 5 years recent coding experience using Python AND/OR (Java OR Scala)
SQL programming experience
Experience and ability to design and work within complex data models.
Strong skills in setting, communicating, implementing, and achieving business objectives and goals
Familiarity with Cloud-based Machine Learning environments, Spark, Visualization/Dashboarding, Elasticsearch, Solr, Graph DBs (i.e., Janus Graph, Neptune, etc.)
Able to work well on a Small Team and Lead other more Jr members of the team
- Additional Job DescriptionAdditional Job Description
Work in a way that works for you
We promote a healthy work/life balance across the organization. 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 wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
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
Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Banking BERT Caffe Classification Clustering Deep Learning Elasticsearch ELMo Generative AI GPT Java Keras Machine Learning MXNet NLP NumPy Open Source Pandas Pipelines Privacy Python PyTorch Research Scala Scikit-learn spaCy Spark SQL Statistics TensorFlow
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave Wellness
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