Unknown Company

Staff Data Scientist

mo • Posted 3 days ago
Onsite Full Time IT & Technology

  • 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 productionize cloud-based analytical models
  • Monitoring and sustaining model effectiveness

Requirements

  • 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.

Core Competencies

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.

Highest-signal resume keywords

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

ATS Optimization Keywords

Hard Skills

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

Soft Skills

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

Certifications & Qualifications

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

Industry Keywords

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

#J-18808-Ljbffr
Back to Job Search