Senior Data Scientist

  • SAIC,
  • Washington, DC
  • 2 hours ago
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SAIC
Management, Performance, Python, Data Analysis, Access, Excel, PowerPoint, IT, Systems, Analysis
Full Time

Job Description

Description
SAIC is positioning to support the U.S Immigration and Customs Enforcement customer within Enforcement and Removal Operations (ERO). SAIC will provide Data Management Operational Analytics. This position is contingent pending award of the contract.

The Senior Data Scientist conducts research and prepares management, organizational and business analyses and forecasts. Senior Data Scientist is responsible for larger, more complex or technically advanced projects, and may be responsible for tasks among multiple projects. Senior Data Scientist should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/ academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer. Senior Data Scientist may be responsible for leading less experienced analysts.

Telework may be permitted with customer approval but is not guaranteed.

Qualifications

Requirements:
  • Bachelor's degree in data science, statistical analysis, machine learning, or related fields
  • Demonstrate applying appropriate methods in order to mathematically formulate and examine statistical associations between variables within a data set using R or Python
  • Conceptualize, plan, design, and develop deep learning/artificial intelligence algorithms for multi-objective optimization and decision-making tools focused on solving resource allocation/prioritization problems.
  • Experience implementing the following libraries in R: h2o, Keras and mlr; and/or the following libraries in Python: TensorFlow, PyTorch and mpi4py.
  • Experience implementing the Data Analysis Epicycle and skilled in performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining.
  • Ability to develop algorithms in a High-Performance Computing (HPC) environment using custom multi-core desktop computers and Microsoft MPI
  • Produce executive level summary reports/briefings of algorithm results using RMarkdown or Jupyter Notebook.
  • Utilize MS Access to perform queries and analyses
  • Utilize MS Excel to perform analyses to produce reports
  • Utilize MS PowerPoint to produce reports
  • Utilize MS Word to produce reports
  • Utilize R (COT statistical analysis program) to perform analyses
  • A Public Trust clearance is required. Must be able to obtain DHS EOD.


Desired:
  • Minimum of Master's degree in data science, statistical analysis, machine learning, or related fields
  • At least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college level mathematics or statistics.
  • Minimum seven (7) years relevant experience in research, organizational and business analyses, predictive analysis, and deep learning development. Education may be a substitute for years of experience.
  • Experience running big data projects for the federal government



My SAIC Benefits.


Company Information

Dice Id : 10111346
Position Id : 2011094
Originally Posted : 2 months ago

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