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- Experience with statistical software such as R, Python, MATLAB, pandas and database languages such as SQL
- Experience with cloud platforms such as Azure, AWS or Google Cloud Platform
- Desired skills:
- Advanced degree in a quantitative discipline such as Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Atmospheric Science, Electrical Engineering Industrial Engineering.
- 8 years of directly relevant, tech industry work experience such as a statistician, or data scientist, with deep expertise in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
- Applied experience with machine learning on large datasets.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem.:
- Experience applying data science techniques to environmental science and/or weather-related challenges
- Understanding of Numerical Weather Prediction principles
- Experience/training in operational meteorology
- Experience with Air Force weather forecasting systems
- Must be a US Citizen
- Must be able to obtain Secret Clearance
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Data Scientist - OMAHA, United States - SAIC Career Site
Description
Description
SAIC is currently seeking a full time Data Scientist to join our Omaha, NE team and begin an exciting and challenging career exploiting data science for environmental applications.
RESPONSIBILITIES INCLUDE:
· Responsible for supporting technique development efforts for applications within the federal government.
· The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
· S/He needs to have strong experience using a variety of data mining/data analysis methods, the use of a variety of data tools, constructing and imposing models, using/creating algorithms and creating/running simulations.
· The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve enterprise outcomes.
· Work with large, complex datasets and remedy difficult, non-routine analysis problems, applying advanced analytical methods as needed.
· Conduct end-to-end analysis that consists of data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
· Build and prototype analysis pipelines iteratively to provide insights at scale.
· Develop comprehensive understanding of data structures and metrics, advocating for changes where needed for both products development and sales activity mainly with Azure based solutions.
· Make recommendations such as cost-benefit, forecasting, and experiment analysis with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
· Research and develop analysis, forecasting and optimization methods to improve the quality of operational data processing systems.
· Interact cross-functionally with teams, and work closely with them to identify opportunities for design and to examine improvements for SAIC engaged solutions.
· Apply data science concepts to build predictive analytics tools using cutting edged techniques to exploit big data
· Bachelors and 5 years or more experience or 9 years of experience in lieu of degree
· Experience with statistical software such as R, Python, MATLAB, pandas and database languages such as SQL
· Experience with cloud platforms such as Azure, AWS or Google Cloud Platform
· Desired skills:
· Advanced degree in a quantitative discipline such as Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Atmospheric Science, Electrical Engineering Industrial Engineering.
· 8 years of directly relevant, tech industry work experience such as a statistician, or data scientist, with deep expertise in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
· Applied experience with machine learning on large datasets.
· Demonstrated skills in selecting the right statistical tools given a data analysis problem.:
· Experience applying data science techniques to environmental science and/or weather-related challenges
· Understanding of Numerical Weather Prediction principles
· Experience/training in operational meteorology
· Experience with Air Force weather forecasting systems
· Must be a US Citizen
· Must be able to obtain Secret Clearance
Qualifications
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
