Data Scientist

Data Scientist

Baltimore, MD, On -site (HYBRID)

Description Of Work

• Strong knowledge of R, Python, SAS, Gen AI and Machine Learning.
• 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.

• All other duties as assigned or directed.
  
  

Basic Qualifications: Minimum knowledge, skills, abilities needed.

• Bachelor degree in Statistics, Applied Mathematics, Computer Science, or Information Science
• Minimum 8 Year (s) of Data Scientist experience
• Expert-level experience working with real world data sets in predictive modelling using a scripting language such as
  
  

Python, SAS and R.

• Knowledge of TensorFlow, PyTorch, scikit-learn, 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 real-world 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 cross-functional teams.
• Providing problem solving skills, proven communication in written and verbal formats to various audiences to include
  
  

executive leadership.

• Must be able to obtain and maintain a US Public Trust clearance.
  
  

Preferred Qualifications: Candidates with these skills will be given preferential consideration.

• Prior experience with federal or state governments IT projects.
• Prior experience working on applications that help identify fraudulent activities (Anti-Fraud) in government or larger
  
  

private organizations.

• Experience working in an analytical research environment.
• Experience with statistical and machine learning software such as pandas and scikit-learn.
• 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
  
  

Selected candidate must

• Selected candidate must reside within two (2) hours of SSA Headquarters in Woodlawn, MD
• Selected candidate must be willing to work on-site at least 2 days a week..