Senior Data Scientist II

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.

Preferred Qualifications

• Masters Degree in Data Science, Computer Science, Statistics, Machine Learning or related field.
• 3+ 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.

Technical Skills

• Strong Python, Scala or Java background.
• Knowledge of AWS, GCP, Azure, or other cloud platforms.
• 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.

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.