Lead Data Scientist, Market Demand Forecasting

Analog Devices, Inc.; Wilmington (MA); On-site; USD 109,600 - 150,700; Full time

Benefits offered by this job

Medical insurance

Vision coverage

Dental coverage

401k plan

Paid vacation

Job summary

Analog Devices, Inc. is seeking a Lead Data Scientist / Economist in Market Analytics to analyze macro-driven demand shifts across end markets and translate insights into actionable business decisions. You will bridge data science, supply chain planning, and FP&A to improve forecast quality and scenario planning.

The role emphasizes interpreting ML-driven forecasts, communicating drivers and assumptions, and integrating macro signals into forecasting workflows with cross-functional collaboration.

Qualifications

• Bachelor’s or Master’s in Data Science, Economics, Statistics, Engineering
• 6–10+ years of experience in demand forecasting, economic analysis, or advanced analytics
• Strong understanding of macroeconomic concepts and industry demand drivers

Responsibilities

• Analyze internal (orders, backlog, bookings) and external datasets to identify shifts in demand across end markets
• Develop frameworks to quantify and incorporate macro signals into forecasting and scenario planning
• Own and guide forecast biasing decisions by translating macro signals into actionable adjustments
• Interpret machine learning forecast outputs and explain drivers and limitations
• Integrate macroeconomic signals into forecasting workflows and model inputs

Skills

Macroeconomics

Forecasting

Data analysis

ML forecasting

SQL / Snowflake

Communication

Education

Bachelor's or Master's in Data Science, Economics, Statistics, Engineering

Tools

SQL

Snowflake

Python

Job description

Analog Devices, Inc. is seeking a Lead Data Scientist / Economist in Market Analytics to analyze macro-driven demand shifts across end markets and translate insights into actionable business decisions. You will bridge data science, supply chain planning, and FP&A to improve forecast quality and scenario planning.

The role emphasizes interpreting ML-driven forecasts, communicating drivers and assumptions, and integrating macro signals into forecasting workflows with cross-functional collaboration.