Data Scientist

Location: Washington, DC
Date Posted: 08-17-2017
Job Responsibilities:
  • Use mathematical and statistical modelling to identify, interpret, and project trends in current and new data sources.
  • Conduct statistical analysis (e.g., regression, modeling, Bayesian) on data related to the  Customer Experience and satisfaction with VA services;
  • Support the integration of disparate data sets based on common data elements using statistical software packages and scripting languages (Python, SPSS, SAS, R, Stata, etc.);
  • Prepare analysis data sets, tables, listings, graphs, and statistical analyses.
  • Identify trends and conduct decision-support analytics to support the development of executive-level data insights;
  • Identify ways to analyze and draw conclusions from imperfect data sources while clearly articulating any assumptions.
  • Collaborate on interpretation and presentation of findings.
  • Support current processes, data management and reporting while also working to identify workflow/system improvements and implement change.
  • Support cross-functional initiatives and internal/external customers at all levels.
  • Provide organizational support to project initiatives (preparing agendas, presentations and reports, coordinating meetings, maintaining records, etc.).
 
Required Skills and Experience:
  • Experience in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms.
  • Experience with PYTHON, SAS, R
  • Experience conducting statistical sampling; non-bias analysis; and establishing recommendations for customer survey coverage methodology
  • Experience working with large datasets using tools like SQL, toad
  • Experience in using statistical modeling and distributed machine learning algorithms on large data sets
  • Experience in text analytics and sentiment-analysis
  • Experience creating weighting approach based on population data
  • Experience conducting post-survey data collection response weighting (non-response adjustment, post stratification)
  • 6 years of professional, reflated experience
  • (Desired) Degree in a quantitative discipline (i.e., mathematics, statistics, economics, operations research, etc.).
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