Senior Data Scientist (P3358)
Tasks
- Build automated testing for model performance and data quality
- Build reproducible notebooks and scripts for experimentation
- Create documentation and user guides for internal model usage
- Design and execute proof of concepts for business problems
- Develop APIs and hosted applications for model delivery
- Develop embedding pipelines for vector search and RAG
- Evaluate and validate machine learning models using quality metrics
- Fine tune and deploy foundation models with engineers
- Gather feedback from stakeholders to inform model roadmap
- Guide stakeholders for adoption of embedding and generative AI
- Perform exploratory data analysis and feature engineering
- Troubleshoot integration challenges for model deployments
Perks/Benefits
- 401k match
- Company-Paid Holidays
- Dental insurance
- Flexible work schedule
- Health insurance
- Health savings account
- Paid time off
- Vision insurance
Skills/Tech-stack
APIs | Automated testing | Azure | Cloud Computing | Cloud platform | Data Analysis | Data Preprocessing | Databricks | Deep learning | Embeddings | Exploratory Data Analysis | Feature Engineering | Google Cloud | Google Cloud Platform | Hadoop | Jupyter Notebook | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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