Senior Data Scientist I
LexisNexisLegal

San Francisco, California

Posted in IT


This job has expired.

Job Info


Senior Data Scientist I

At LexisNexis we develop the legal profession's most innovative products for data analysis, visualization, and research. We use the latest techniques in machine learning, knowledge modeling, 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.

As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators. You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.

RESPONSIBILITIES

• Evaluate and help maintain our data assets and training/evaluation data sets

• Develop and implement NLP-based information extraction solutions

• Propose and identify trade-offs of various algorithmic solutions

• Interface with other technical personnel or team members to finalize requirements.

• Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.

• Successfully implement development processes, coding best practices, and code reviews for production environments.

PREFERRED QUALIFICATIONS

  • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field
  • 2+ years of relevant work experience

DATA SCIENCE AND NLP SKILLS

• Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms

• Practical training in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, NLTK, OpenNLP, StanfordNLP

TECHNICAL SKILLS

• Strong Python, Scala or Java background

• Knowledge of AWS, GCP, Azure, or other cloud platform

• Understanding of data modeling principles.

• Ability to work with complex data models.

• Knowledge of relational and NoSQL databases (e.g. Postgres, ElasticSearch/OpenSearch, graph databases such as Neptune or neo4j)

• Knowledge of Spark, Hadoop, or other distributed computing systems highly preferred

• Knowledge of API development and machine learning deployment highly preferred

LexisNexis, a division of RELX Group, 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. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120.

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