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Data Scientist

In United States

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Data Scientist   

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JOB TITLE:

Data Scientist

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

HOUSTON United States

JOB DESCRIPTION:

Title – Data Scientist

Location – Houston, TX (Hybrid)

Duration – 6+ months

 

WHAT YOU'LL DO: 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 consumption data

• 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 (2 years minimum)

• At least 2+ years of experience of deploying machine learning models and frameworks in production

• At least 3 years of experience with:

o Experiences in both Supervised and Unsupervised machine learning models (Regressions, Gradient Boosted methods, SVMs, Random Forests, Clustering)

o Familiar with python packages such as Pandas, SkLearn, Numpy etc

o Deep learning (CNN, RNN, LSTM) and framework library (e.g., Keras, TensorFlow, PyTorch) and Graph Neural Networks

o Evaluation and hypothesis testing.

• At least 3 years of experience with o Cloud computing platforms such as AWS, Azure (preferably AWS) o Standard concepts and technologies used in CI/CD build and deployment pipelines.

• At least 2 years of experience in distributed computing frameworks such as Spark or Pyspark is desirable.

Position Details

POSTED:

Oct 04, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16551648495874386

LOCATION:

United States

CITY:

HOUSTON

Job Origin:

OORWIN_ORGANIC_FEED

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In Dallas Fort Worth
Aug 19, 2017 9am-6pm
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Data Scientist    Apply

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<p><strong>Title – </strong> Data Scientist</p> <p><strong>Location – </strong> Houston, TX (Hybrid)</p> <p><strong>Duration – </strong> 6+ months</p> <p> </p> <p><span style="color:#4B4B4B;background:white;">WHAT YOU'LL DO: 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: </span></p> <p><span style="color:#4B4B4B;background:white;">• Analyze energy time series and summarize the statistical properties of energy signals </span></p> <p><span style="color:#4B4B4B;background:white;">• Build predictive models and forecast signals for day-ahead consumption data </span></p> <p><span style="color:#4B4B4B;background:white;">• Evaluate the performance and compare the results with existing models </span></p> <p><span style="color:#4B4B4B;background:white;">• Deploy the best model and document the result of this research Business Skills </span></p> <p><span style="color:#4B4B4B;background:white;">• Excellent verbal, written, and interpersonal communication skills </span></p> <p><span style="color:#4B4B4B;background:white;">• Strong understanding of the product development lifecycles </span></p> <p><span style="color:#4B4B4B;background:white;">• Strong understanding of software development, testing and integration methodologies </span></p> <p><span style="color:#4B4B4B;background:white;">• Personal effectiveness/credibility </span></p> <p><span style="color:#4B4B4B;background:white;">• Strong problem solving and analysis skills Technical Skills </span></p> <p><span style="color:#4B4B4B;background:white;">• Proficiency with Python or R, SQL and familiarity with working in big data environments (2 years minimum) </span></p> <p><span style="color:#4B4B4B;background:white;">• At least 2+ years of experience of deploying machine learning models and frameworks in production </span></p> <p><span style="color:#4B4B4B;background:white;">• At least 3 years of experience with: </span></p> <p style="margin-left:36.0pt;"><span style="color:#4B4B4B;background:white;">o Experiences in both Supervised and Unsupervised machine learning models (Regressions, Gradient Boosted methods, SVMs, Random Forests, Clustering) </span></p> <p style="margin-left:36.0pt;"><span style="color:#4B4B4B;background:white;">o Familiar with python packages such as Pandas, SkLearn, Numpy etc </span></p> <p style="margin-left:36.0pt;"><span style="color:#4B4B4B;background:white;">o Deep learning (CNN, RNN, LSTM) and framework library (e.g., Keras, TensorFlow, PyTorch) and Graph Neural Networks</span></p> <p style="margin-left:36.0pt;"><span style="color:#4B4B4B;background:white;">o Evaluation and hypothesis testing. </span></p> <p><span style="color:#4B4B4B;background:white;">• At least 3 years of experience with o Cloud computing platforms such as AWS, Azure (preferably AWS) o Standard concepts and technologies used in CI/CD build and deployment pipelines. </span></p> <p><span style="color:#4B4B4B;background:white;">• At least 2 years of experience in distributed computing frameworks such as Spark or Pyspark is desirable.</span></p>


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