Intermediate Data Scientist

at  LexisNexis

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 Scientists
• Pulls data, cleans data, builds and maintains existing models
• Participates in result presentation to internal stakeholders

Preferred Qualifications

• At least an undergraduate degree in relevant field and 2+ years of relevant work experience
• Or a master’s degree in a relevant field

Data Science and NLP Skills

• Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
• Practical 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 background
• Knowledge of AWS, GCP, Azure, or other cloud platform
• Understanding of data modelling principles and complex data models.
• Knowledge of relational and NoSQL databases (e.g. Postgres, Elasticsearch/ OpenSearch, AWS Neptune)
• Knowledge of Spark, Ray, or other distributed computing systems highly preferred
• Knowledge of API development, containerization, and machine learning deployment highly preferred
• Interest in ML Ops/AI Ops highly preferred

Data Science Skills

• Competency in relevant skills and software packages
• Demonstrates competencies in relevant Data Science and/or Statistical frameworks
• Able to apply Machine Learning, Data Mining, and/or Statistical methods to build advanced models. Able to roll into production with senior guidance
• Understands and creates typical data steps to prepare and process data for analysis
• Able to execute standard coding for projects and processes to do the job successfully using company standard toolsets
• Independent support of small-scale projects. Support from others in supporting more complicated project steps
• Understands and executes complex methods within discipline, industry and domain

Work 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 benefits- Disability insurance- Dependent care and commuter spending accounts- Life and accident insurance- Retirement benefits (salary investment plan/employer stock purchase plan)- Modern family benefits, including adoption and surrogacy.
About 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:
https://forms.office.com/r/eVgFxjLmAK
, or please contact 1-855-833-5120.
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• Primarily provide support to more senior Data Scientists
• Pulls data, cleans data, builds and maintains existing models
• Participates in result presentation to internal stakeholder