Senior Data Scientist at LexisNexis South Africa

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. 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 

• 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
• Strong Python, Scala or Java background
• 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
• Interest in ML Ops/AI Ops highly preferred