Data Scientist (Levi Strauss & Co.)

Company Overview:

We believe that clothes — and how you make them — can make a difference.

Since 1853, we’ve been obsessed with innovation to meet people’s needs. We invented the first blue jean. And we reinvented khaki pants. We pioneered labor and environmental guidelines for our manufacturing partners. And we work to build sustainability into everything we do.

A company doesn’t last 160 years by standing still. It endures by reinventing itself, striving to delight its consumers, winning in the marketplace, and by remaining true to its values.

We employ more than 17,000 people around the world – supporting great brands, including Levi’s®, Dockers® and Denizen®. Our employees are committed to innovation, creativity and collaboration. Put simply, if you’re looking for a new opportunity, this is a great place to grow your career.

Position Description:

Data Scientist is responsible for delivering statistical models, segmentation analysis, and customer insights that will inform business decisions. 

This position drives best in class applications for developing learning plans and test design, identifying KPIs, analytics plans, and optimization recommendations for campaigns maintaining analytical rigor. 

This role goes beyond pulling numbers and crunching data- the objective is to convert our raw data into meaningful and actionable business analysis and insights that will drive quality traffic to the site and help us drive higher levels of consumer engagement as well as revenue. 

You will partner with our various teams to structure problems, extract and analyze data and present findings and recommendations to our leadership teams. 

Responsibilities:

• Build and enhance machine learning models to learn Consumer Insights. 
• Develop/Enhance in-house distributed machine learning systems built on Hadoop, Spark, R and Hbase. 
• Build Analytics and Reporting capabilities. 

Job Qualifications:

• Production coding skills in Java or Scala
• Experience in dealing with eCommerce Consumer Data. 
• Familiarity with NoSQL databases
• Analysis tools such as R. 
• Experience working with large data sets, experience working with distributed computing a plus (Map/Reduce, Hadoop, Hive, Apache Spark, etc)

The Company's policy is to provide equal opportunity to all persons without regard to race, color, creed, religion, national origin, citizenship, sex, age, sexual orientation, gender identity or gender expression, marital status, Vietnam era/disabled veteran status, physical or mental disability, or other protected classes prohibited by applicable law. Company policy prohibits harassment of applicants or employees on the basis of any protected classes. The Company has established a continuing Affirmative Action Program to assure equal employment opportunity in all its policy decisions affecting recruitment, selection, assignment, promotion, training, and all other terms and conditions of employment.