Data Scientist

Found in: beBee jobs US - 2 weeks ago

Omaha, Nebraska, United States SAIC Career Site Full time

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.

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