Data Scientist II, Data Scientist II - AOP Team

Major Responsibilities Include

• Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
• Apply Statistical and Machine Learning methods to specific business problems and data.
• Create global standard metrics across regions and perform benchmark analysis.
• Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
• Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
• Develop efficient data querying and modeling infrastructure.
• Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
• Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company