Staff Data Scientist

• Developing industry leading analytics solutions
• Assessing existing analytic models and architectures, reviewing for gaps against business needs and industry best practices
• Identifying detailed data needs, sources, and structure to support solution development
• Determining the analytic approaches to be used and defining and applying the appropriate methodologies
• Employing Proof-of-Concepts for exploratory and targeted data analyses, leading to breakthrough solutions
• Ensuring integrity of the analytical solutions in terms of the underlying statistical and economic models and assumptions
• Designing and developing project-specific models.
• Architecting analytical tools to product ionize cloud-based analytical models
• Monitoring and sustaining model effectiveness

• 10+ years of experience in statistics, econometrics, forecasting, advanced analytics, or related quantitative fields
• Bachelor’s degree AND Ph.D. required in a technical discipline, such as statistics, mathematics, computer science, economics, operations research, or a related quantitative field
• Deep expertise in statistics, econometrics, forecasting, and predictive modeling
• Strong command of model development, model validation, uncertainty quantification, and performance monitoring
• Demonstrated ability to connect methodological choices to business decisions, operational constraints, and end-user impact
• Advanced programming skills for analytical model development, data pipelines, and reproducible workflows
• Strong data fluency across structured, time-series, and panel-style analytical data
• Significant experience building or overseeing forecasting approaches used for planning, scenario evaluation, or business decision-making
• Ability to translate economic, operational, or market signals into robust forecasting frameworks
• Experience balancing statistical rigor with practical constraints, data limitations, and stakeholder timelines
• Strong judgment in model comparison, feature selection, assumption management, and interpretation of results
• Ability to understand complex business processes, and how business value is created.
• Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information.
• Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms.

Expertise in developing and validating advanced analytical models, with a strong foundation in statistics, econometrics, and forecasting. Proven ability to translate complex data into actionable business insights while ensuring model integrity and effectiveness.

• Statistics Expertise
• Econometrics Proficiency
• Predictive Modeling Skills
• Advanced Programming Skills
• Data Fluency

• Statistical Analysis
• Model Development
• Forecasting Techniques
• Data Pipeline Development
• Reproducible Workflows
• Model Validation
• Uncertainty Quantification
• Performance Monitoring
• Analytical Methodologies
• Analytical Tool Architecture

• Communication Skills
• Judgment in Model Comparison
• Problem-Solving Ability
• Stakeholder Management
• Business Process Understanding

• Ph.D. in Technical Discipline
• Bachelor’s Degree in Technical Discipline

• Advanced Analytics
• Analytic Models
• Data Analysis
• Business Decision-Making
• Operational Constraints
• Forecasting Approaches
• Statistical Rigor
• Economic Signals
• Model Effectiveness
• Client Specifications