Data Scientist

San Francisco, CA San Francisco CA 94188

Date : Dec-13-18

Data Scientist

San Francisco, CA

Dec-13-18

Work Authorization

US Citizen
GC
H1B
L2 EAD, H4 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

12Months

Sp. Area

:

AI, ML, NLP, Data Science

Sp. Skills

:

Data Scientist

Consulting / Contract

Third Party OK

Required Skills :

+ Techniques like: Machine Learning, NLP, Graph Theory, Deep Learning, AI + One or more programming languages like Python, Java, R, or Scala

Preferred Skills :

+ Techniques like: Machine Learning, NLP, Graph Theory, Deep Learning, AI + One or more programming languages like Python, Java, R, or Scala

Domain :

Work Authorization

US Citizen
GC
L2 EAD, H4 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

12Months

Sp. Area

:

AI, ML, NLP, Data Science

Sp. Skills

:

Data Scientist

Consulting / Contract

Third Party OK

Required Skills :

+ Techniques like: Machine Learning, NLP, Graph Theory, Deep Learning, AI + One or more programming languages like Python, Java, R, or Scala

Preferred Skills :

+ Techniques like: Machine Learning, NLP, Graph Theory, Deep Learning, AI + One or more programming languages like Python, Java, R, or Scala

Domain :

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EApps Tech
Raleigh, NC
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Job Description :

Advanced degree in Computer Science, Statistics, Mathematics, or related area
At least 5 years of relevant work experience, including expertise in recommendation systems, personalization, collaborative filtering and content based filtering
Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
Familiarity with SQL or other querying language
Ability to work with dashboard and visualization software such as Tableau, D3, Mixpanel, Flurry or Google Analytics

+ Techniques like: Machine Learning, NLP, Graph Theory, Deep Learning, AI
+ One or more programming languages like Python, Java, R, or Scala
+ A Masters or PhD degree in Computer Science, Statistics, Applied Mathematics, or related areas
+ Delivering data science components that are part of successful commercial products
+ Collaborating with engineering teams to develop prototypes and software products that can be deployed across varied environments (e.g.: cloud, on-premises, devices, etc
+ Big Data and Fast Data (i.e.: real time streaming)
+ Working with clients and executives

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