Senior Data Scientist
Gradient AIAI for company
RemoteSenior
MassMutual Ventures
Centana Growth Partners
Sandbox Insurtech Ventures
Forte Ventures
BSC Capital Partners
Stonepoint Capital
Data & AI
About the role
TL;DR
Advance core AI models and drive them to market.
- •Gradient AI is seeking a Senior Data Scientist to advance core AI models and drive them to market.
- •This role involves owning well-scoped models end-to-end, shipping measurable uplift on AI capabilities.
- •Key Responsibilities Leverage deep learning, large language models, and traditional data science techniques for hybrid models.
- •Brainstorm, prototype, deploy, and realize value of work quickly.
- •Address big data, federated learning, unstructured data, and time-series/sequence modeling challenges.
- •Communicate data insights effectively to customers and stakeholders.
- •Requirements Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar field AND 3-5 years of professional data science experience building predictive models OR Master's or Ph.D.
- •AND 1-2 years of professional data science experience.
- •Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and modern AI architectures (Transformers, LLMs).
- •Advanced proficiency in Python and its data science ecosystem (Pandas, NumPy, scikit-learn, LightGBM).
- •Familiarity with SQL, relational databases, and cloud environments (AWS/Azure/Google/Databricks).
- •MLOps experience including experiment tracking, containerization (Docker), model serving, CI/CD, and pipeline orchestration.
Required skills
PythonPyTorchTensorFlowPandasNumPyscikit-learnSQLAWSDockerLLMs
Nice-to-have skills
Databricks
Domain expertise
insurtech
Benefits & perks
Stock options, Unlimited vacation days, Flexible schedule, Medical insurance, Dental insurance, Vision insurance, 401k, Paid paternal leave
Tech stack
PythonPyTorchTensorFlowPandasNumPyscikit-learnSQLAWSAzureGoogle CloudDatabricksDocker