Data Scientist

• Determine the nature of analytic problems evaluate options and offer recommendations for resolution;
  
• Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem;
  
• Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems;
  
• Provide accurate timely complex and sophisticated data analysis;
  
• Determine and employ the most appropriate research design for data collection and analysis;
  
• Analyze evaluate and assess quantitative data (using statistical software computer models geospatial models software languages and mathematical models) to contribute to or develop software tools analytic models or reports.
  

Requirements

• Bachelors degree in Statistics Applied Mathematics Computer Science or Information Science
  
• Bachelors degree in Statistics Applied Mathematics Computer Science or Information Science with a minimum of 12 years of experience
  
• Minimum 8 Year (s) of Data Scientist experience
  
• Must be able to obtain and maintain a Public Trust.
  
• Expertlevel experience working with real world data sets in predictive modelling using a scripting language such as Python SAS and R.
  
• Knowledge of TensorFlow PyTorch scikitlearn NLTK Azure ML (optional) Amazon Web Services EC2.
  
• Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build train test and evaluate a variety of supervised and unsupervised analytic models.
  
• Ability to clean and process large amounts of realworld data.
  
• Experience retrieving and manipulating data from a variety of data sources included Db2 Oracle SQL Server Hadoop and flat files.
  
• Experience with database management systems e.g. MySQL SQLite SQL etc.
  
• Either experience with or the ability and willingness to learn distributed processing via the Hadoop ecosystem i.e. Spark Impala and Hive.
  
• Excellent analytical skills to identify potential risks and propose effective solutions.
  
• Clear communication skills to convey complex technical concepts to various partners.
  
• Ability to collaborate with crossfunctional teams.
  
• Providing problem solving skills proven communication in written and verbal formats to various audiences to include executive leadership.
  

• Showcase your knowledge of modern development through the following experience or skills:
  
• Prior experience with federal or state governments IT projects.
  
• Prior experience working on applications that help identify fraudulent activities (AntiFraud) in government or larger private organizations.
  
• Experience working in an analytical research environment.
  
• Experience with statistical and machine learning software such as pandas and scikitlearn.
  
• Experience in parallel processing such as GPU programming with CUDA
  
• Mathematica
  
• Experience using markup languages such as LaTeX HTML etc.
  
• Natural Language Processing for anomaly detection