Overview

At LexisNexis, we develop the legal profession?s most innovative products for data analysis, visualization, and research – uncovering insights about judges? rulings, revealing critical cases, enabling lawyers to make data-driven decisions, and more. LexisNexis seeks a Senior Data Scientist to join our rapidly growing team. As a senior member of the Data Science team, you will design systems to tackle tough problems in the legal domain and expand our award-winning products.

ACCOUNTABILITIES

Evaluate, fix, and help in the maintenance our data assets and training/evaluation data sets
Develop and implement scalable machine learning-based solutions
Pariticpate in model reviews with key stakeholders, including stakeholders with limited statistical backgrounds from among that set
Work with product leaders to apply data science solutions
Maintain current knowledge-base of best-in-class algorithms, API’s, and open-source methods and be able to quickly evaluate alternatives
Translate complex business requirements into actionable stories with reasonable time estimates
Participate in knowledge sharing sessions (e.g. Guilds and Chapters)

Company:

LexisNexis

Qualifications:

DATA SCIENCE AND NLP SKILLS

Formal training in dimensionality reduction, clustering, and sequence classification algorithms
3+ years experience using Machine Learning package ScikitLearn
3+ years experience using NLP methods such as OpenNLP, StanfordNLP, Mallet, LDA, word2vec
PROGRAMMING SKILLS

3+ years recent coding experience using Python AND/OR (Java OR Scala)
SQL programming experience

CLOUD AND DATABASE SKILLS

1-3 years experience developing in AWS
1-3 years experience working in high-performance / large-scale (big data) computing systems (e.g Hadoop, Spark)

TEAM AND SOCIAL SKILLS

Strong collaboration and team skills (DIR/MGR)

Level of experience (years):

Mid Career (2+ years of experience)

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About LexisNexis

LexisNexis offers content-enabled workflow solutions in the legal, risk management, corporate, government, accounting, and academic markets.