Sr. Data Scientist, Financial Planning and Analysis

• Develops relevant statistical models such as mathematical optimization, stochastic process models, econometric methods and decision analysis in the development of predictive analytics to assist in attendance and profitability forecasting.
• Create and execute automation and data mining requests utilizing SQL, Excel, R/SAS/Python and other statistical programs.
• Mine and collect data (both structured and unstructured) to detect patterns, opportunities and insights that drive our business.
• Create the analytics to leverage known, inferred and appended information about origins and recognizing patterns to assist in outlook forecasting.
• Troubleshoot forecast and optimization anomalies with FP&A team using statistical and mathematical optimization models. Develop testing to explain and or reduce these anomalies.
• Oversee and develop key metric forecasts as well as provide budget support based on trends in the business/industry.
• Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
• Performs other duties as assigned.

• Bachelors, Master’s degree is required.
• PhD is preferred, MS/PHD degrees in Industrial Engineering, Operations Research, Management Science, Mathematics, Computer Science, Statistics or equivalent.

• 7+ years prior hands-on experience in data science.
• Experience programming with statistical modeling tools to fuel and deliver forecasts with financial accuracy.
• Strong familiarity with manipulating and mining unstructured data to transform business decisions that impact the bottom line; or equivalent combination of education and experience.

• Experience leveraging predictive modeling, big data analytics, exploratory data analysis and machine learning to drive significant business impact
• Expert knowledge programming/statistics (R, Python, SAS)
• Expert in Microsoft Products (Excel, PowerPoint, Word, Access)
• Capable of interacting with relational databases through SQL
• Ability to manipulate unstructured data to form insights about the business
• Understanding of big data technologies Hadoop and Hbase
• Familiar with visual analytic tools such as Tableau
• Ability to paint a picture through analytics that will enhance and determine business decisions
• Demonstrated a willingness to both teach others and learn new techniques
• Ability to handle multiple projects required and work independently in a deadline-oriented environment
• Desire to work in a fast-paced environment

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