Spring, AR, United States
September 15, 2022
Apply NowJob description
Airswift has been tasked by one of our biggest Oil & Gas clients to seek a Data Scientist to work for a 2 year – W2 contract in Spring, TX
Job Role Responsibilities
Job Role Responsibilities
- Apply statistical analysis, pattern recognition, and machine learning – along with domain knowledge and subject-specific models – to solve science, engineering, and commercial problems.
- Contribute to all stages of data modeling and analytics projects, including problem formulation, solution development, and product deployment:
- Translate business-relevant scientific, engineering, and commercial problems into questions that may be addressed using data science.
- Design experiments and/or run simulations to generate new data in support of analytic studies.
- Retrieve and combine data from databases, data historians, and/or data lakes; there is a strong emphasis on programming, particularly using scripting languages.
- Perform exploratory data analysis for quality control and improved understanding.
- Rigorously and reproducibly build, analyze, and compare statistical and/or machine learning models.
- Contextualize the results and synthesize them with existing knowledge and/or domain-specific models.
- Deploy data-analytic products to end-users and/or document data-analytic results in technical reports.
- Data loading (DAS – distributed acoustic sensing - data into HPL)
- Parallel programming with Python
- HPC experience
- Signal processing
- Data engineering (big data visualization)
- Possible programming language/package expertise: holoviews, datashader, holoviz, paraview, etc
- Experienced data scientist (with minimum 2 years of work experience) with proven track record of solving challenging problems and influencing business partners.
- Master's degree/ PhD degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering, or related disciplines with minimum GPA 7.0 (out of 10.0) and above.
- Experience in Python, MATLAB, or R is required.
- Excellent communication skills and experience working in a collaborative environment is required.
- Previous work experience in the oil and gas industry, energy, or manufacturing is an advantage.
- Demonstrated ability to mentor other data scientists is an advantage.
- Demonstrated ability to accelerate the digital maturity of business partners is an advantage.
- Knowledge of numerical methods for linear algebra and optimization is an advantage.
- Experience in technical software development is an advantage.
- Experience of cloud computing platforms like Azure, AWS and familiarity with MLOPs is an advantage.
