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Job ID : 28714

Location : Dallas, TX

Company Name : TopEdge Technology

Job Type : contract

Industry : Information Technology

Salary : $50000 - $60000  per year

No. of Positions : 5-10

Required Skills : python.

Benefits : None of These

Job Description :


Key Skills :   python

Positions : Contract W2

Our client is having an immediate position for Data Science Engineer with Python, for a contract position.

Below are the details of the requirement.

Role: Data Science Engineer

Primary Responsibilities:

-Design machine learning systems to automate predictive models.

-Develop ML algorithms to analyze historical data to make predictions.

-Run tests, performing statistical analysis, and interpreting test results.

-Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse.

-Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.

-Demonstrate outstanding collaboration, interpersonal communication and written skills with the ability to work in a team environment.

Minimum qualifications:

-Bachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.

-3+ years of experience in analytics or similar fields.

-Experience with scripting languages (e.g. Python, Perl, etc.).

-Experience manipulating data sets in SQL and using statistical software (e.g., R, SAS, MATLAB, Numpy/Pandas).

-Experience in software engineering, including gathering data for analysis, performing data filtering and preparation, and running tests at scale.

Preferred qualifications:

-Masters degree in a quantitative discipline.

Experience in machine learning (e.g., supervised learning, clustering).

-Experience designing data models or table schema.

-Experience writing and maintaining extract, transform, and load scripts which operate on a variety of structured and unstructured sources.

-Knowledge of statistics (e.g., probability theory, hypothesis testing, regressions), and experimentation theory.


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