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Job Details
Job ID: 2313642
Location: OMAHA, NE, US
Date Posted: 2024-01-03
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
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 able to obtain Secret Clearance
Qualifications
SAIC accepts applications on an ongoing basis and there is no deadline.
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.
Location: OMAHA, NE, US
Date Posted: 2024-01-03
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
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 able to obtain Secret Clearance
Qualifications
- 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 able to obtain Secret Clearance
SAIC accepts applications on an ongoing basis and there is no deadline.
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.