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Data Engineer

In United States

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Data Engineer   

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JOB TITLE:

Data Engineer

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Houston United States

JOB DESCRIPTION:

Job Title- Data Engineer

Duration – 6 to 12 months

Location – Remote

 

You will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets. The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues. Specific responsibilities include: Analyze energy time series and summarize the statistical properties of energy signals Build predictive models and forecast signals for day ahead and realtime market Evaluate the performance and compare the results with existing models Deploy the best model and document the result of this research

 

Business Skills -

Excellent verbal, written, and interpersonal communication skills

Strong understanding of the product development lifecycles

Strong understanding of software development, testing and integration methodologies

Personal effectiveness/credibility

Strong problem solving and analysis skills

 

Technical Skills

Proficiency with Python or R, SQL and familiarity with working in big data environments

Experience with: Statistical machine learning tools such as Random Forests, Gradient Boosting, or XGBoost Time Series Analysis Deep learning Model evaluation and hypothesis testing Deploying apps on AWS cloud infrastructure (i.e. Kubernetes, CICD) is a plus

Position Details

POSTED:

Oct 07, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16531776349844077

LOCATION:

United States

CITY:

Houston

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Engineer    Apply

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<p><strong>Job Title- Data Engineer </strong></p> <p><strong>Duration – 6 to 12 months</strong></p> <p><strong>Location – Remote </strong></p> <p><strong> </strong></p> <p>You will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets. The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues. Specific responsibilities include: Analyze energy time series and summarize the statistical properties of energy signals Build predictive models and forecast signals for day ahead and realtime market Evaluate the performance and compare the results with existing models Deploy the best model and document the result of this research</p> <p><strong> </strong></p> <p><strong>Business Skills -</strong></p> <p>Excellent verbal, written, and interpersonal communication skills</p> <p>Strong understanding of the product development lifecycles</p> <p>Strong understanding of software development, testing and integration methodologies</p> <p>Personal effectiveness/credibility</p> <p>Strong problem solving and analysis skills</p> <p> </p> <p><strong>Technical Skills</strong></p> <p>Proficiency with Python or R, SQL and familiarity with working in big data environments</p> <p>Experience with: Statistical machine learning tools such as Random Forests, Gradient Boosting, or XGBoost Time Series Analysis Deep learning Model evaluation and hypothesis testing Deploying apps on AWS cloud infrastructure (i.e. Kubernetes, CICD) is a plus</p>


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