Principal Data Scientist
Telecommuter TN, United States
R
USD 90K-110K (estimate) Senior-level Full Time
Tasks
- Architect modeling approaches
- Build model evaluation frameworks for accuracy bias stability and business impact
- Collaborate with business stakeholders to identify analytical opportunities
- Design feature engineering strategies and modeling pipelines
- Develop predictive and prescriptive models
- Ensure analytical methodologies align with governance and regulatory expectations
- Establish best practices for model development experimentation validation and reproducibility
- Evaluate external data sources and third party solutions
- Identify emerging technologies and modeling approaches
- Lead causal inference and scenario simulation for risk scoring
- Lead design and development of statistical and machine learning models
- Lead research and innovation initiatives
- Mentor team members on statistical methods and machine learning
- Monitor deployed models for drift and degradation and recommend recalibration
- Productionize models and integrate into enterprise AI platforms
- Provide technical guidance to data scientists and analysts
- Serve as technical authority for modeling initiatives
- Translate analytical findings into actionable insights
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Causal Inference | Data Drift | Data Pipelines | Deep learning | Enterprise Data | Enterprise data pipelines | Experimentation | Feature Engineering | Gradient boosting | Machine Learning | Model Evaluation | Model Monitoring | Model Validation | NLP | Predictive Analytics | Probabilistic Modeling | Python | R | Reproducibility | Risk scoring | Statistical modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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