Senior Data Scientist

7 days ago


Reston, Virginia, United States Spartan Technologies Full time
About the Role

We are seeking an experienced Data Scientist - LLM to join our team at Spartan Technologies. As a key contributor, you will be responsible for developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Company's products.

Key Responsibilities
  • Develop Deep Learning/Large Language Model/Generative AI capabilities.
  • Design and develop high-quality prompts and templates that guide the behavior and responses of LLM, ensuring desired accuracy, relevance, and language fluency.
  • Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs.
  • Develop AI/ML solutions, including but not limited to, enhancing underwriting risk assessment, claims auto adjudication, and customer servicing.
  • Run large-scale experiments, from unsupervised pre-training, to fine-tuning, retrieval augmentation, and prompt engineering.
  • Evaluate LLM models on statistical tests, business metrics, and bias and other regulatory metrics.
  • Support and help build the Data Science Lab (DSL).
  • Support use case development, including initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation.
  • Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets.
  • Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs.
  • Identify source data and data quality checks both in model/solution development and in production.
  • Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps.
  • Contribute to the overall Data Science organization.
  • Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups.
  • Contribute to standardization of Data Science tools, processes, and best practices.
Requirements
  • PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 3 years Hands-on working experience as a Data Scientist.
  • Strong theoretical foundations in probability & statistics.
  • Strong background in deep learning models, including Large Language Models (LLM), Prompt Engineering, and Natural Language Processing (NLP).
  • Hands-on experience with GPU, distributed computing, and applying parallelism to ML solutions.
  • Strong programming skills in Python, including PyTorch and/or Tensorflow.
  • Solid background in algorithms and a range of ML models.
  • Basic experience in data analysis and statistical modeling.
  • Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level.
  • Excellent analytical and problem-solving abilities with superb attention to detail.
  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success.


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