These jobs were popular with other job seekersAt 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.
Job SpecificationAbout the Role 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.
OfferResponsibilities • 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
Preferred Qualifications • Masters Degree 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 experience in Natural Language Processing methods and libraries such as spaCy,
word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, large language models and prompt
engineering is essential
Technical Skills • 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
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.
Monthly Salary: Market related HR Services, Recruitment & Selection These jobs were popular with other job seekers#J-18808-Ljbffr
