Data Scientist
  • Elite Tech
220 Days Ago
NA
NA
Woodlawn-MD
13-20 Years
Required Skills: R, Python, Data Scientist, AI, ML
Job Description
Position Title
Data Scientist
Key Required Skills:
  • Strong knowledge of R, Python, SAS, Gen AI, and Machine Learning.
Position Description
  • Analyze and resolve analytic problems.
  • Advise on methods and data for evaluating intelligence or data problems.
  • Collaborate to identify and close data gaps.
  • Provide accurate and sophisticated data analysis.
  • Design appropriate research methods for data collection and analysis.
  • Use statistical software, computer models, and mathematical models to develop tools, models, or reports.
Skills Requirements:
Foundation for Success
  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science.
  • Minimum 16 years of Data Scientist experience.
  • Ability to obtain and maintain a Public Trust.
Required Skills
  • Expertise in predictive modeling with Python, SAS, and R.
  • Experience with TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), AWS EC2.
  • Advanced statistical and machine learning methods for model building and evaluation.
  • Data cleaning and processing skills.
  • Data retrieval and manipulation from sources like Db2, Oracle, SQL Server, Hadoop, and flat files.
  • Database management systems knowledge (MySQL, SQLite, SQL, etc.).
  • Willingness to learn distributed processing (Hadoop, Spark, Impala, Hive).
  • Excellent analytical and communication skills.
  • Collaboration with cross-functional teams.
  • Problem-solving skills and experience communicating with executive leadership.
  • Experience with federal or state government IT projects, especially in anti-fraud applications.
  • Analytical research environment experience.
  • Experience with statistical and machine learning software (pandas, scikit-learn).
  • Parallel processing experience (GPU programming with CUDA).
  • Familiarity with markup languages (LaTeX, HTML).
  • Natural Language Processing for anomaly detection.
Education
  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science.
  • Ability to obtain and maintain a Public Trust.

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