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Open nowFirst seen 32 hours ago

Data Scientist

Rapinno Tech Inc601 open roles

Where
Houston, Texas, United States, Remote
Work mode
Remote
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Your applicationOpen nowData ScientistRapinno Tech Inc · Houston, Texas, United States, Remote

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 32 hours ago

The posting

VERY URGENT AND IMMEDIATE NEED.

Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa.

Job Title: Data Scientist Location: Houston, TX Duration: 06+ Months Contract

Note:

Oil, Gas and energy background in Preferred

Job Description:

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:

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

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

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

Evaluation and hypothesis testing.

At least 3 years of experience with

Cloud computing platforms such as AWS, Azure (preferably AWS)

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.

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