Data Scientist

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Judge Group, Inc.
Python, SQL, Linux, Computer, Engineering, NLP
Full Time

Job Description

Location: Grand Prairie, TX
Description: Our client is currently seeking a Data Scientist

You are an accomplished data scientist, machine learning practitioner, who is familiar with AI technology and its business applications.
You are experienced and handy at analyzing big data, preparing data for modeling, and coding predictive models.

You?ll need to have:

Bachelor?s degree with 6 or more years of work experience as a Data Scientist practicing model development for business applications with hands-on experience in Python, PySpark, machine learning libraries, SQL, and Linux shell script.

Even better if you have: -

A Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, Data Science or related field.

-A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science.

-Extensive training in statistics, mathematics, computer science, algorithms, and related fields.

-Excellent problem solving and critical thinking capabilities.

-Experience in large-scale data science projects and delivering from end to end.

-Experience with Deep Learning and NLP. -Experience with Hadoop, Spark, and RDBMS.

-Strong communication and interpersonal influencing skills.

Contact:

This job and many more are available through The Judge Group. Find us on the web at www.judge.com


Company Information

The Judge Group, celebrating its 50th anniversary, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better. Our services are successfully delivered through a network of more than 30 offices in the United States, Canada, and India. The Judge Group serves more than 50 of the Fortune 100 and is responsible for over 9,000 professionals on assignment annually across a wide range of industries.

Dice Id : cxjudgpa
Position Id : 713458
Originally Posted : 8 months ago

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