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Data Science Engineer III
NPAworldwide Recruitment Network
NPAworldwide Recruitment Network
 
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Job Location: Pleasanton, CA
JOB DESCRIPTION

Job #: 24546
Title: Data Science Engineer III
Job Location: Pleasanton, California - United States
Employment Type:
Salary: contact recruiter for details
Employer Will Recruit From: Nationwide
USA
Relocation Paid?: NO

WHY IS THIS A GREAT OPPORTUNITY?

We have an excellent opportunity for an experienced Data Science Engineer III to be part of a global software company who are a leading provider of enterprise cloud applications. Customers are their focus and they work hard at providing user friendly applications to medium to large enterprises.

Our client is a well established company, known to drive business agility in a fast-moving world, ttheir platform leads the way for people in companies to collaborate, gain insights, and make smarter decisions faster..

Their planning tool enables a comprehensive set of cloud-based software solutions supported by a powerful, in-memory technology platform that enables functional and company-wide business planning and built-in analytics at very large scale. They offer purpose-built solutions that allow those closest to the business to plan.

Key Criteria:

  • Need someone who has a strong background in machine learning, statistics, and programming.
  • Experience handling data science projects from concept, development, and deployment to production.
  • Expertise in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas)
JOB DESCRIPTION

Do you get excited by connecting customers through great product? Does the thought of changing the way people plan across businesses of all sizes excite you?

Our client is seeking an experienced Data Science Engineer (III) to join their engineering team and continue revolutionizing the heart of their application. This is a permanent role based at Pleasanton, CA.

Responsibilities:

  • Help drive data science projects from concept, development, and deployment to production
  • Propose statistical or machine learning based model/methodology to solve the problem
  • Propose accuracy measures and validation criteria for the model
  • Implement and evaluate proposed model/methodology
  • Provide deep technical guidance and mentorship to the entire team
  • Work with product managers to formulate the ML product vision and design
QUALIFICATIONS

  • Masters or Ph.D. in Computer Science, applied mathematics, or a related engineering discipline
  • 4+ years building data powered products
  • Strong background in machine learning, statistics, and programming
  • Proven track record of analyzing large-scale complex data sets, modeling and machine learning algorithms
  • Expertise in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas)
  • Expertise in at least one statistical modeling tools from among R, Matlab or Weka (is a plus)

Education:
University - Bachelor`s Degree/3-4 Year Degree




How to Apply:


 
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