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WSI Nationwide
  Company Profile
WSINationwide is a NY Recruiter, NJ Recruiter, PA Recruiter, CT Recruiter and National Recruiter for Programming, Computer, Management and Technical positions.
 
  Job Details 
Title: 

Data Scientist : Portland, OR

Posted On:  7/9/2021 2:53:54 AM
Designation: 

Data Scientist

No. of vacancies:  1
Qualifications:  Bachelor Degree
Essential Skills: 
Not specified
Minimum Total Experience:  0
Job Tenure:  No Preference/Any
Salary Offered:  DOE
Job Location:  Portland, OR United States

  Job Description
Responsibilities:
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-The selected Data Scientist candidate with solid Data Science experience will design and develop end-to-end machine learning pipelines (data exploration, training data generation, feature engineering, model building, and performance evaluation) for a wide variety of projects.
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-Work in a multi-disciplined team where you'll take full ownership of turning discoveries and ideas into machine learning models. .
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-Design, implement, and analyze online experiments, including A/A and A/B testing, in a variety of configuration environments.
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Qualified Data Scientist candidates will have many of the following requirements:

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-Experience as a Data Scientist
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-End to end machine learning experience.
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-PhD's preferred or MA/MS-Masters with lots of experience. Minimal: a BA/BS degree (or equivalent experience) in Computer Science, or its equivalent in a related technical field and 3 years of related work experience or equivalent combination of education and experience. Master's or PhD degree preferred. Prefer a specialization in entity resolution/disambiguation, information retrieval, machine learning, or natural language processing.
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- Strong analytical skills and comfortable working with large data sets and ability to transform data into actionable insights.
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- Exceptional technical skills:
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- Strong programming skills in at least one language such as Python, Java, Scala, C++, Julia
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- Experience with SQL and relational databases.
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- Experience with unstructured and semi-structured data sources and requisite processing tools.
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- Ability to work in an agile environment.
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Preferred Capabilities and Responsibilities
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- Passion for helping healthy people stay well and for improving the comfort and health level of sick people as efficiently and compassionately as possible.
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- Familiarity with retail, e-commerce, or financial analytics, including approaches such as life event modeling, customer lifetime value.
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- Experience in Big Data Hadoop, Spark, Storm or related paradigms and associated languages such as Pig, Hive, Mahout
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- Experience in AWS, Azure, or other cloud ecosystems.
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- Familiarity with Big Data NoSQL databases: DynomoDB, Cassandra, MongoDB, or Neo4j.
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- Familiarity with Elasticsearch, Soir, or Lucene.
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- Published work in academic conferences or industry circles.

  Contact Information
Reference Name (If Any): 





 
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