Data Scientist

Job Summary

This position serves key role in research/development of volume and revenue forecast models for UPS products and services. You will be a vital to the innovation of UPS forecasting. Our research and modeling support a team with $50B+ in revenue forecasting annually. You are an expert in Machine Learning, Deep Learning or High Frequency forecasting who is enthusiastic working with large time-series datasets. You will help us create our next generation of forecast models and socialization tools. You have experience with Deep Learning, but also know classical time series approaches. You are enthusiastic about modeling but also at investigating external signals and their interactions.

Responsibilities

• Research cutting edge advances in time series forecasting methodologies and apply them to improve UPS forecasting
• Improve upon existing methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting models
• Work with internal data engineering and IT teams to curate/improve internal data ETL processes for forecasting
• Sift through large sets of data to investigate features and signals that might be good predictors
• Evaluate external data sources on an ongoing basis to improve accuracy and understanding of estimates
• Create socialization processes to share forecasts with stakeholders in an efficient, interpretable, easy to understand manner (dashboard tooling experience via. Plotly Dash is a plus)

Preferences

• Advanced degree in Mathematics, Statistics, Computer Science, Economics, Engineering or other analytical disciplines, with 2+ years of related work experience OR
• 4+ years of hands-on experience in predictive modeling utilizing machine learning
• Experience in time series forecasting (both classical and deep learning methods)
• Possesses experience with managing large datasets (billions of rows)
• Mastery of SQL and proficiency with Python preferred; experience with Plotly Dash/ Streamlit or other visualization software is a plus
• Demonstrates experience with building PowerPoint presentations and interactive dashboards where quantitative results are reviewed
• Natural curiosity and desire to learn
• A desire to continue developing your skill set while sharing new analytical approaches with your peers
• Proficient with Microsoft Excel (formulas and functionality)
• Strong financial and statistical modeling skills
• Ability to distill complex insights into compelling narratives for senior executives, both verbally and visually
• A passion for fast-paced problem solving in a dynamic work environment