Intermediate Data Scientist
About Us At LexisNexis we develop the legal profession's most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges' rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance.
About the Role A Data Scientist III should understand best practices and processes and be able to execute them independently, reviewing requirements and results with supervisors. Individuals in this role should work with managers to define project scope, and then execute the necessary methods to develop, test and deliver outcomes.
Responsibilities Primarily provide support to more senior Data ScientistsPull data, clean data, build and maintain existing modelsParticipate in result presentation to internal stakeholdersPreferred Qualifications At least an undergraduate degree in relevant field and 2+ years of relevant work experienceOr a master's degree in a relevant fieldData Science and NLP Skills Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithmsPractical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, large language models and prompt engineering.Technical Skills Strong Python, Scala or Java backgroundKnowledge of AWS, GCP, Azure, or other cloud platformUnderstanding of data modelling principles and complex data modelsKnowledge of relational and NoSQL databases (e.g. Postgres, Elasticsearch/ OpenSearch, AWS Neptune)Knowledge of Spark, Ray, or other distributed computing systems highly preferredKnowledge of API development, containerization, and machine learning deployment highly preferredInterest in ML Ops/AI Ops highly preferredData Science Skills Competency in relevant skills and software packagesDemonstrates competencies in relevant Data Science and/or Statistical frameworksAble to apply Machine Learning, Data Mining, and/or Statistical methods to build advanced models. Able to roll into production with senior guidanceUnderstands and creates typical data steps to prepare and process data for analysisAble to execute standard coding for projects and processes to do the job successfully using company standard toolsetsIndependent support of small-scale projects. Support from others in supporting more complicated project stepsUnderstands and executes complex methods within discipline, industry and domainWork in a way that works for you We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees.
Working with Us LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.
Working for you We believe in a healthy work/life balance. 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:
Comprehensive, multi-carrier health plan benefitsDisability insuranceDependent care and commuter spending accountsLife and accident insuranceRetirement benefits (salary investment plan/employer stock purchase plan)Modern family benefits, including adoption and surrogacyAbout our Team LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
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.
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