Data Scientist Job Listing at SAIC in Omaha, NE (Job ID 2313642)

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

• 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.

 Apply on company website