Data Science Lead (Classic ML)
10+ years required
Remote role,
W2(Independent Contractors)
Experience Range: 10+ years of experience in advanced data science roles, including leadership of machine learning and statistical modeling projects
Key Responsibilities:
- Lead the design, development, and deployment of Next Best Offer models and advanced data science solutions to drive business growth
- Apply statistical techniques including hypothesis testing, t-tests, z-tests, regression (linear and logistic), and forecasting to generate actionable insights
- Oversee end-to-end machine learning workflows using Python, PySpark, and R, ensuring robust model development, validation, and continuous improvement
- Leverage probabilistic graph models and advanced classification algorithms such as decision trees and support vector machines to address complex business challenges
- Implement and optimize scalable machine learning pipelines using KubeFlow and BentoML for production environments
- Conduct statistical analysis and computing utilizing SAS, SPSS, and R Studio to support data-driven decision-making
- Evaluate, monitor, and refine model performance to ensure accuracy, reliability, and business impact
- Collaborate with cross-functional teams to translate business requirements into effective data-driven strategies and measurable outcomes
Required Skills:
- Python
- PySpark
- SAS
- SPSS
- R
- R Studio
- Probabilistic graph models
- Regression methods (linear and logistic)
- Forecasting methods (exponential smoothing, ARIMA, ARIMAX)
- Decision trees
- Support Vector Machines (SVM)
- TensorFlow
- PyTorch
- Scikit-learn
- CNTK
- Keras
- MXNet
- KubeFlow
- BentoML
Preferred Skills:
- Great Expectation
- Evidently AI
- Cloud-based machine learning deployment
- Advanced ensemble methods
- Boosting algorithms
- A/B testing
- Experimental design
- Recommendation systems
- Personalization algorithms
Desired Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
- Certification in Machine Learning or Data Science from a recognized institution such as Coursera, edX, or DataCamp
- Relevant certification in statistical analysis or analytics, such as SAS Certified Statistical Business Analyst
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior