Job Id : 4855
Jobtitle : Data Scientist-Big Data Lab
Location : San Francisco, CA
Company Name : Katalyst Technologies
Industry : Information Technology
Salary : $67,000 - $116,000 YEAR
Job type : Fulltime
Posted on: 2019-09-23
Required Skills : Scala, PMML, Spark, NoSQL, Hadoop Ecosystem
Benefits : No benefits are available
Job Description :
In Big Data Lab, you will deal with 300-million user data to test, calibrate, and deploy machine learning models with support from a group of talented and friendly coworkers, including business analysts, data scientists, algorithm developers, and system engineers. The challenges from scalability and high peak throughput on retail promotion days will be thrillingly exciting, which is highly desired experience for every software engineer. All experience levels are welcome.
Fluent in Chinese is a strong plus Company Perks Medical insurance 401K matching PTO days and holidays Annual training budget Gym membership reimbursement Free lunch Free coffee and snacks Company Description Founded in 1990, Suning is one of the leading commercial enterprises in China with two public companies in China and Japan respectively. For three consecutive years between 2016 and 2018, Suning Holdings consecutively ranked second among top 500 private-owned enterprises in China with the annual revenue of 81.23 billion US Dollars. With the ambition to expand overseas, Suning set up its first R&D center in the heart of Silicon Valley in November of 2013. This center will fuel creative minds and energetic hearts, harbor state of the art research and cutting edge tech development. The mission is to hold the flag and lead the way for the whole fleet of Suning, solving problems of today and tomorrow. In this center, you will enjoy the exciting environment of a start-up. You will be given the opportunity to discover and create, build and implement, team up and spin-off, all supported by the fast growing Suning eco-system. Associated topics: data administrator, data analyst, data architect, data center, data engineer, database administrator, etl, mongo database, sql, teradata
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