Data Scientist
Data Scientist
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Job Description
Job Title : Data scientist
Location: Raleigh NC (Onsite)
Job Type : Contract
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 including matter and contract repository invoice/legal spend data and work management. 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
- Develop and implement LLM-based applications tailored for in-house legal
- Fine-tune and deploy large language models to enhance their performance on legal text processing tasks
- Evaluate and help maintain our data assets and training/evaluation data sets
- Design and build pipelines for preprocessing annotating and managing legal document datasets
- Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs
- Conduct experiments and evaluate model performance to drive continuous improvements
- 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.
REQUIREMENTS
- Formal training in machine learning: dimensionality reduction clustering embeddings and sequence classification algorithms
- Experience with deep learning frameworks such as PyTorch Tensorflow and Hugging Face Transformers.
- Practical experience in Natural Language Processing methods and libraries such as spaCy word2vec TensorFlow Keras PyTorch Flair BERT
- Practical experience with large language models prompt engineering fine-tuning and benchmarking using frameworks such as LangChain and LlamaIndex
- Strong Python background
- Knowledge of AWS GCP Azure or other cloud platform
- Understanding of data modeling principles and complex data models.
- Proficiency with relational and NoSQL databases as well as vector stores (e.g. Postgres Elasticsearch/OpenSearch ChromaDB)
- Knowledge of Scala Spark Ray or other distributed computing systems highly preferred
- Knowledge of API development containerization and machine learning deployment highly preferred
- Experience with ML Ops/AI Ops highly preferred
PREFERRED QUALIFICATIONS
- MS in Data Science Computer Science Statistics Machine Learning or related field
Employment Type
Full-time
