Role: Data Scientist - Senior
Task/Responsibilities
- Deliver production quality solutions for data extraction, classification, triaging, routing, search, etc.
- Own post-deployment lifecycle of solutions by developing robust monitoring, alerting and feedback mechanisms that drive continuous improvement
- Programmatically explore data, derive insights that are statistically sound, and convey findings to colleagues of varying sophistication
- Create, contribute to, improve, and convey technical and non-technical documentation of solutions
- Label and validate datasets of various sizes, using manual methods as well as programmatic and AI driven approaches
- Evaluate the performance of models and solutions-as-a-whole on practical and statistical benchmarks
- Collaborate with other scientists, engineers, product owners, and business customers to develop solutions that meet the business problem
Required Skills and Experience- Experience applying quantitative methods in a corporate environment
- Experience with Python from a functional programming paradigm, able to manage dependencies, virtual environments, and version control in git
- Experience with cloud computing platforms such as Azure
- Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
- Experience with generative algorithms (e.g., GAN, VAE, etc.) as well as foundation models (e.g., GPT-4o, SAM, Mistral)
- Experience developing solutions from inception through deployment
Desire skills/requirements- Graduate degree in a quantitative field
- Experience with sequential algorithms (e.g., LSTM, RNN, GRU, etc.)
- Experience evaluating ethical implications of AI and considerations around controlling them
Education- BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent
