Senior ML Lead - Predictive Analytics & Model Strategy

Quality Analytics; Arkansas; Hybrid; USD 115,000 - 120,000; Full time

Job summary

Quality Analytics Associates (QAA) seeks a senior technical lead to guide evaluation and development of analytical methods for data-driven projects. The role prioritizes selecting analytical approaches based on defined decision problems and evidence, leading statistical, predictive, and machine-learning work.

The position requires advanced expertise in Python/R and ML frameworks, with proven leadership in data-science activities and collaboration with engineers.

Qualifications

• Master's degree in data science, statistics, computer science, or a closely related quantitative field; OR Equivalent years' experience
• Demonstrated professional experience developing statistical, predictive, and/or machine-learning models
• Advanced proficiency with Python, R, or comparable analytical programming environments
• Experience with common machine-learning and statistical modeling frameworks and libraries
• Demonstrated experience with model development, validation, performance evaluation, and interpretation
• Experience working with longitudinal, time-dependent, multivariate, or heterogeneous data
• Knowledge of predictive modeling, classification/regression, anomaly or change detection, calibration, model robustness, and uncertainty
• Ability to communicate complex analytical findings to technical and nontechnical stakeholders
• Demonstrated technical leadership of data-science or AI/ML activities

Responsibilities

• Serve as technical lead for statistical, predictive, and machine-learning research
• Develop and evaluate methods for performance-trajectory analysis
• Develop methods for point detection
• Design predictive models and outcomes
• Determine appropriate analytical approaches
• Conduct feature engineering, model development, model selection, training, validation, testing, and comparative analysis
• Establish appropriate baselines and evaluate whether advanced methods provide measurable value beyond isolated, retrospective, or threshold-based measures
• Evaluate predictive performance, calibration, robustness, stability, useful lead time, and performance
• Analyze false-positive and false-negative behavior and other model-error characteristics
• Develop and evaluate approaches for uncertainty and confidence characterization
• Implement explainability methods that identify evidence contributing to analytical outputs
• Maintain source-to-model and source-to-indicator traceability in collaboration with the Data/Systems Engineer
• Lead analytical-model implementation
• Support structured evaluation of analytical outputs and incorporate human-review findings into model refinement
• Document model assumptions, methods, performance, limitations, uncertainty, validation findings, and technical risks
• Support demonstrations, technical reviews, and recommendations concerning subsequent model and maturation

Skills

Python

R

Statistical modeling

Machine learning

Data analysis

Leadership

Communication

Education

Master's degree in data science / statistics / CS

Equivalent years' experience

Tools

scikit-learn

TensorFlow

Pandas

Job description

Quality Analytics Associates (QAA) seeks a senior technical lead to guide evaluation and development of analytical methods for data-driven projects. The role prioritizes selecting analytical approaches based on defined decision problems and evidence, leading statistical, predictive, and machine-learning work.

The position requires advanced expertise in Python/R and ML frameworks, with proven leadership in data-science activities and collaboration with engineers.