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Principal Data Scientist

Job Order ID 2716
Country United States
Province/State California
City Sunnyvale

Employment Type Permanent
Posted Date 10/10/2018

Brief Description

Our client is a Fortune 500 global retailer reshaping the eCommerce landscape. If you are inspired by the opportunity to solve complex problems and make a difference that impacts the customer experience, let’s talk.

Compensation and benefits for this position are best in class and include 100% coverage for preventative care, retirement, vision, dental and other exclusive discounts. A generous relocation package is also available as is visa sponsorship.


As a Principal Data Scientist you will play a unique role in driving the future of the next generation Forecasting models, researching, designing and implementing cutting edge algorithms.


Responsibilities include:
• Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
• Build learning systems that monitor data flows and react to changes in customer preferences and business objectives
• Collaborate with engineers to implement and deploy scalable solutions
• Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leader



Requirement Note

• PhD in Statistics or Machine Learning or Applied Mathematics or related technical discipline with 7+ years of experience (3+ years of forecasting experience preferred)
• Experience in areas such as data-driven statistical modeling, discriminative methods, feature extraction and analysis, supervised learning
• Proficient in R/ Python and SQL. Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark)

• Strong analytical skills including the ability to structure problems for analysis, analyze the data and understand root cause
• Ability to deal with ambiguity and effectively prioritize competing objectives  
• Forecasting experience in an online and/or retail environment is preferred
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams

Contact Details:
Christopher Falvey