About the position
Serve as a member of the Analytics & Insights (A&I) team responsible for pairing strategic thought leadership with latest analytic techniques in data science, machine learning, artificial intelligence, and primary research to drive outstanding consumer and employee experiences to fuel future growth. Develop and implement advanced forecasting models that incorporate macroeconomic indicators to predict market trends, consumer behavior, and business performance. Develop and maintain accurate system level forecasts on weekly bases for US and international markets. Conduct thorough research on macroeconomic trends and industry developments to inform forecasting models and strategic planning. Analyze market segmentation and pricing strategies to identify opportunities to improve forecasting accuracy. Partner with cross-functional teams to implement strategies to optimize sales and profitability. Contribute to team-wide code base, and collaboratively test and merge work into production with business partners. Generate and present complex analyses to executive audience in a compelling manner to influence team and capitalize on opportunities. Synthesize insights across several data sources and clearly explain/present learnings and insights to executive audience.
Responsibilities
- Develop and implement advanced forecasting models incorporating macroeconomic indicators.
- Maintain accurate system level forecasts for US and international markets.
- Conduct research on macroeconomic trends and industry developments.
- Analyze market segmentation and pricing strategies.
- Partner with cross-functional teams to optimize sales and profitability.
- Contribute to team-wide code base and collaborate on production work.
- Generate and present complex analyses to executive audience.
Requirements
- Bachelor's degree or equivalent in Statistics, Mathematics, Engineering Management, Computer Science, or related quantitative field of study.
- 5 years of progressive experience in Data Science, Business Analytics, or related fields with a focus on statistics and forecasting.
- Experience with time series data and various forecasting algorithms, including regression models and time series methods such as Prophet, ARIMA, and Xgboost.
- Proficiency in SQL and Python for statistical analysis on Big Data.
- Experience with predictive modeling and machine learning techniques.
- Knowledge of statistical techniques and concepts, including regression and probability.
- Ability to prepare written communications and presentations for senior management.
