Senior Data Scientist
Tasks
- Apply NLP NLU NLG models
- Build AI and machine learning features
- Collaborate with product managers, engineers, and designers
- Create code based proofs of concept
- Develop scalable machine learning solutions
- Document best practices
- Identify and evaluate AI and machine learning opportunities
- Lead data-driven decision-making
- Run machine learning and statistical analyses for prediction and forecasting
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Employer paid disability
- Flexible culture
- Gym memberships
- HSA & FSA options
- Health insurance
- Hybrid work options
- Onsite gym
- Remote work options
- Vacation time
- Vision insurance
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
A/B | A/B Testing | AI Platform | AWS | AWS SageMaker | Airflow | Azure Machine Learning | B testing | Causal Inference | Cloud ML | Cloud ML services | Docker | Entity recognition | Experimentation | Feature Engineering | GitHub | Google AI | Google AI Platform | Inferential Statistics | Kubernetes | Language Models | Language Processing | Large Language Models | ML services | Machine Learning | NLG | NLP | NUI | Named Entity Recognition | Natural Language | Natural Language Processing | Python | SQL | Sentiment Analysis | Statistical modeling | Terraform | Topic Modeling
Education
Roles
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