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Staff Data Scientist

Job Order ID 2714
Country United States
Province/State Cailfornia
City Sunnyvale

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.

My client is looking for passionate data scientists to building next generation forecasting models to drive $200 B   inventory replenishments annually. Improved forecasting will help drive down the inventory days of supply and will produce savings measured in billions of dollars.

Effectively predicting demand involves learning from past sales and includes modeling the effects of price, promotions, store placements, local events, weather etc. Doing this at a scale of over 300 M store item combinations makes it one of the largest and most challenging problems of its kind in the world while also being the most impactful.


As a Staff 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.


Requirement Note

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



PhD in Statistics or Machine Learning or Applied Mathematics or related technical discipline

3+ years of forecasting experience in an online and/or retail environment
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)

Experience with Tensorflow or  PyTorch

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
Excellent written and verbal communication skills along with strong desire to work in cross functional teams
Attitude to thrive in a fun, fast-paced start-up like environment



Contact Details:
Sean Ames
(631) 493-0574 Ext. 120