Staff Data Scientist

Jobtailor; Missouri; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor in Missouri seeks a senior analytics leader to develop industry-leading analytics solutions, assess models for gaps, identify data needs, and define analytic methodologies. You will determine analytic approaches, apply rigorous methodologies, and leverage PoCs to drive breakthrough results for business impact.

The role requires deep forecasting expertise, advanced programming skills, and the ability to translate signals into actionable forecasting frameworks while ensuring model

Qualifications

• Ph.D. in a technical discipline is required, with strong background in statistics or econometrics.
• 10+ years of experience in statistics, econometrics, forecasting, or related fields.
• Deep expertise in forecasting, predictive modeling, and model development.
• Ability to connect methodological choices to business decisions, 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 data.
• Experience building forecasting approaches used for planning, scenario evaluation, or business decision-making.
• Ability to translate economic, operational, or market signals into robust forecasting frameworks.

Responsibilities

• Develop analytics solutions and architectures, leading to production-ready models.
• Assess existing analytic models for gaps against business needs and industry best practices.
• Identify data needs, sources, and structure to support solution development.
• Determine analytic approaches and define applicable methodologies.
• Use Proof-of-Concept studies for exploratory analyses, driving breakthrough solutions.
• Ensure integrity of analytical models and underlying assumptions.
• Design and develop project-specific models.
• Architect analytical tools to productionize cloud-based models.
• Monitor and sustain model effectiveness.

Skills

Statistics Expertise

Econometrics Proficiency

Predictive Modeling

Forecasting Techniques

Advanced Programming

Data Fluency

Model Validation

Uncertainty Quantification

Performance Monitoring

Business Impact Translation

Education

Bachelor’s Degree in Statistics/Mathematics/CS/Economics

Ph.D. in a Technical Discipline

Job description

• 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