Data Scientist
Tasks
- Apply explainable AI techniques
- Build scalable machine learning pipelines
- Deploy models in containerized cloud environments
- Design, develop, test, and deploy machine learning models
- Develop predictive and prescriptive analytics
- Develop ranking scoring and relevance models for enterprise search
- Document analytic methodologies model assumptions and data lineage
- Engineer and validate features using Elasticsearch or OpenSearch and relational databases
- Implement natural language processing for structured and unstructured data
- Monitor evaluate model performance and plan retraining
- Provide technical leadership and mentorship
Perks/Benefits
- 401k matching
- Disability coverage
- Flexible spending account
- Flexible work schedule
- Health, dental, vision, and life insurance
- Paid vacation and holidays
- Professional development reimbursement
- Professional memberships
Skills/Tech-stack
AWS | Agile | Docker | Document Classification | Elasticsearch | Entity Extraction | Explainable AI | Feature Engineering | Kubernetes | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | NLP | Natural Language | Natural Language Processing | OpenSearch | OpenShift | Pandas | Predictive Analytics | Prescriptive Analytics | PyTorch | Python | Relational databases | Retraining | SAFe | Scikit-learn | TensorFlow | Topic Modeling
Education
Roles
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