Lead Data Scientist – Demand Forecasting (Market Analytics)

Key Responsibilities

• Analyze internal (orders, backlog, bookings) and external datasets (macroeconomic indicators, industry trends, third-party data) to identify shifts in demand across end markets.
• Develop frameworks to quantify and incorporate macro signals into forecasting and scenario planning.
• Identify leading indicators and structural changes to provide forward-looking insights on demand inflection points, risks, and opportunities.
• Own and guide forecast biasing decisions by translating macro signals and analytical insights into actionable adjustments.
• Partner with Planning, Business Units, and FP&A to align on demand outlook and key assumptions.
• Support demand and scenario planning through data-driven market interpretation.
• Interpret machine learning forecast outputs, clearly explaining drivers, assumptions, and limitations.
• Translate complex analytical results into concise narratives for senior leadership.
• Improve transparency, trust, and adoption of ML-driven forecasts.
• Leverage statistical and machine learning techniques to enhance demand signal detection and forecast accuracy.
• Partner with data science teams to improve model responsiveness and explainability for macro-driven demand shifts.
• Integrate macroeconomic and market-derived signals into machine learning forecasting workflows, including feature engineering, model inputs, and post-model biasing processes.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Economics, Statistics, Engineering, or related field.
• 6–10+ years of experience in demand forecasting, economic analysis, or advanced analytics.
• Strong understanding of macroeconomic concepts and industry demand drivers.
• Experience applying macroeconomic or market insights within forecasting, planning, or analytics workflows.
• Experience working with both internal operational data and external market datasets.
• Proven ability to interpret analytical outputs and influence business decisions.
• Strong communication skills with ability to engage technical and non-technical stakeholders.

Preferred Skills

• Background in economics, market intelligence, or strategy analytics.
• Experience in semiconductor or high-tech industries.
• Familiarity with forecasting and data platforms (SQL, Snowflake).
• Experience working closely with Finance / FP&A on planning and outlook development.