Sr. Data Scientist II (Remote Eligible)
Tasks
- Build evaluation harnesses and regression tests
- Build predictive and prescriptive models for lifecycle problems
- Define metrics and experimentation strategy
- Design and ship AI sub-agents across the customer lifecycle
- Design retrieval and grounding strategies
- Develop data foundations and knowledge layer
- Drive data and modeling culture and mentor data scientists
- Partner with product and engineering to deploy in production
Perks/Benefits
- 401k match
- Employer subsidized medical dental and vision
- Flexible time off
- Life insurance
- Long-term disability
- Monthly stipend
- Paid Holidays
- Parental leave
- Professional development budget
- Remote work options
- Short-term disability
- Sick time off
- Teleworking options
- Volunteer day
Skills/Tech-stack
Batch Processing | Causal Inference | Contextual Bandits | Data Pipelines | Databricks | Deep learning | Difference-in-differences | Drift Detection | Evaluation | Feature Engineering | Gradient boosting | Guardrails | Language Models | Large Language Models | LightGBM | Linear Models | Machine Learning | Model Monitoring | Multi-step reasoning | Offline Reinforcement Learning | Propensity score | PyTorch | Python | Real Time | Real-time Serving | Reinforcement Learning | Retraining | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Spark | Synthetic control | Tableau | Tool use | Transformer | Uplift Modeling | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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