Data Scientist I
4 days ago
About LexisNexis Risk Solutions
We are a leading provider of data and analytics solutions for the legal and risk management industries. Our innovative products and services help our customers make informed decisions and mitigate risk.
About 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.
Key Responsibilities
- Evaluate and 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.
Requirements
- 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.
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.
What We Offer
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees. 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.
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