Sr. Data Scientist (REF39029K)

Develop and maintain accurate system level forecasts on weekly basis 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 the forecasting accuracy. Partner with cross-functional teams to implement strategies that 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 an executive audience.

REQUIREMENTS: Bachelor's degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering or related quantitative field of study and 5 years of progressive experience in Data Science and Statistics related to business. Employer will accept a Master's degree or equivalent in Statistics, Mathematics, Computer Science, Computer Engineering or related quantitative field of study and 1 year of experience in Data Science and Statistics related to business in lieu of a Bachelor's degree or equivalent and 5 years of progressive experience.

Applicants must have demonstrated experience with:

1. Bayesian methods, time series data and different forecasting algorithms.
2. SQL, Python, and developing algorithms to address business problems or questions through statistical analysis on enterprise-scale datasets.
3. predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application.
4. statistical techniques and concepts, including regression, probability, distributions, and statistical testing with hands-on experience applying them to real-world problems (such as A/B testing, forecasting, and predictive modeling) using tools including Python, R, or SA.