Supply Chain Forecasting Lead

XCUTIVES INC.; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

XCUTIVES INC. seeks a senior analytics leader with a strong background in forecasting and quantitative risk. The role requires hands-on Python and SQL, production-grade models, and the ability to translate complex analytics into actionable business decisions.

You will mentor a small technical team, coordinate cross-functional efforts, and ensure methodological rigor across forecasting, time-series analysis, and validation practices while delivering clear operational recommendations.

Qualifications

• Bachelor's degree in statistics, mathematics, actuarial science, computer science, operations research, economics, engineering, or related quantitative discipline, or equivalent relevant experience.
• 8+ years of applied forecasting, advanced analytics, data science, actuarial analytics, supply chain analytics, or quantitative risk experience, including experience coordinating or mentoring technical professionals.
• Hands-on expertise in Python and advanced SQL, with recent evidence of personally building, troubleshooting, and improving production-grade models or analytical workflows.
• Strong command of predictive modeling, time-series forecasting, cohort analysis, uncertainty quantification, rolling backtests, error decomposition, and model-validation practices.
• Ability to critically assess statistical, actuarial, financial-risk, and data-analytical work for methodological integrity, reproducibility, completeness, and business relevance.
• Experience converting analytical outcomes into operational recommendations with clear tradeoffs and stakeholder accountability.
• Demonstrated ability to lead a small team while retaining meaningful personal ownership of technical work.

Skills

Python

Advanced SQL

Forecasting

Time-series forecasting

Cohort analysis

Uncertainty quantification

Model validation

Team leadership

Operationalization of analytics

Education

Bachelor's degree in statistics, mathematics, actuarial science, computer science, operations research, economics, engineering, or related quantitative discipline

Tools

Python

Job description

• Bachelor's degree in statistics, mathematics, actuarial science, computer science, operations research, economics, engineering, or related quantitative discipline, or equivalent relevant experience.
• 8+ years of applied forecasting, advanced analytics, data science, actuarial analytics, supply chain analytics, or quantitative risk experience, including experience coordinating or mentoring technical professionals.
• Hands-on expertise in Python and advanced SQL, with recent evidence of personally building, troubleshooting, and improving production-grade models or analytical workflows.
• Strong command of predictive modeling, time-series forecasting, cohort analysis, uncertainty quantification, rolling backtests, error decomposition, and model-validation practices.
• Ability to critically assess statistical, actuarial, financial-risk, and data-analytical work for methodological integrity, reproducibility, completeness, and business relevance.
• Experience converting analytical outcomes into operational recommendations with clear tradeoffs and stakeholder accountability.
• Demonstrated ability to lead a small team while retaining meaningful personal ownership of technical work.