Data Scientist AI/ML/RL/Bayesian

3 weeks ago

Dallas, United States UPLAND CAPITAL GROUP INC Full time
Job DescriptionJob DescriptionFull time Employment Opportunity



Primary Function:

Our Data Science and Actuarial model environment and architecture is containerized, and we are cloud based, running on Azure. We aim to be completely automated with processes to build, provision, and deploy our models and products. Our models will range from standard AI and ML models, to RL, to Bayesian simulation models which will require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a ‘one size fits all’ mindset.

Duties and Responsibilities:

  • Formalize business problems as technical objectives statements
  • Approach every problem with support from literature with an openness to discussion.
  • AI and Machine Learning approaches to solve new problems; not limited to vision and text problems
  • Bayesian simulation for parametrization and predictive models, Reinforcement Learning for scaling experiments, Natural Language Processing; including but not limited to transformers
  • Optimization approaches for targeting business objectives
  • Strong understanding of parametric modelling approaches and statistical distributions
  • Understand and apply model privacy and security within a structured Model Engineering process
  • Build full products on a fully containerized model architecture
  • Collaborate with stakeholders, you will report to the VP of Data Science.
  • Other duties assigned by management

Experience, Education, Special Skills Required:

  • A Master’s degree with 2-5 years experience OR a Bachelor’s degree with 5-8 years experience
  • STEM degree or related field, or equivalent experience
  • 2-5 years of experience as a Data Scientist
  • Strong experience working with relational (SQL) and non-relational (NoSQL) databases End-to-end experience building, validating, and deploying AI/ML/RL/Bayes models
  • Strong knowledge of statistical distributions, including Bayesian mathematics
  • Knowledge of agile development practices using Git
  • Experience working with Property & Casualty product pricing or claims models

Bonus Skills:

  • Experience with vector databases and transformer models
  • Aggregate and extreme value distribution modelling a positive
  • Hands on experience with the main cloud providers AWS/Azure/GCP
  • Knowledge of Linux commands and ability to work in terminal, especially server side
  • Experience working at a start-up or financial services

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