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

• 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

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. REQNUMBER: 2313642

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability