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Data Scientist
WWE
Stamford, CT, United States
Job Details - this job has expired, please see similar jobs below
The Data Scientist role will be instrumental in helping WWE continue its evolution into a data driven, analytics driven organization. The Data Scientist will execute analytical tasks such as model development, scoring, and deliverable production to support WWE decision makers. Projects/tasks will range from deep dives on specific topics, creation of analytical models, to building reports and dashboards with KPIs and trends. S/he will support business stakeholders through hands-on quantitative analytics of transactional and behavioral data.
Key Responsibilities:
• Develop predictive and descriptive models using advanced statistical, optimization, and big data techniques including: multivariate, regression, decision trees/classification, and time series
• Assist in identifying critical questions to be answered and contribute to developing analytics-driven solutions and KPIs to enable more effective decision making
• Conduct analysis and data modeling to draw insights that drive critical decision making and to uncover subscriber patterns, user content consumption, and customer behavior patterns
• Create models, KPIs, and dashboards to operationalize outcomes of analytics
• Monitor effectiveness of analytical models and ensure accuracy of all data from source to final deliverable through a systematic data quality control process
• Work in complex data environment comprising several heterogeneous internal and third party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses
• Work on self-serve delivery, automation, and maintenance of reports and visualizations
• Work with IT partners (e.g., data warehousing team) to design optimal data architecture for analytics and BI tools
Qualifications:
• At least 1 year of experience in marketing/sales analytics, segmentation, and forecasting
• At least 1 year of experience with a statistical analysis tool like R, SAS or SPSS
• At least 1 year of experience performing data management, mining, and manipulation
• Proficiency in a wide range of analytical methods including multivariate, time series, classification, and machine learning
• Working knowledge of SQL and relational data model
• Working knowledge of at least two technologies: Python, Big Query, Google Analytics, Spotfire, and/or Tableau
• Ability to translate quantitative results into clear and concise business presentations/reports using compelling data visualization techniques
• Able to write code to query and transform both unstructured and structured data
• Proven track record of identifying and highlighting key insights, signals, and trends deep within the underlying data
• Bachelor’s degree in Statistics/Mathematics,Econometrics/Economics, Engineering/Computer Science, Business/Finance, or related quantitative field
• Advanced degree a plus
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