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
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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We’re an equal opportunity provider.
All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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