Data Scientist

Location: Washington, DC
ERPi is currently seeking a fulltime Data Scientist to provide onsite support at our Washington, DC site.

The Role:
ERPi is experiencing a period of tremendous growth, including the expansion of its core service offerings into the areas of data science, fraud prevention, and analytics.  We are seeking candidates who combine a consulting background with expertise in data science, statistics, and analytics to help build an analytics capability for the firm, as well as deliver associated services to clients in the Federal government. In support of this effort, ERPi is looking for qualified Data Analysts to develop statistically-rigorous methods for sampling and surveying the veteran populations, statistical programs for extracting data from the authoritative data sources in an automated manner, and to use statistical modeling to support identification of actionable insights. Extracting data from the authoritative data sources in an automated manner, and to use statistical modeling to support identification of actionable insights.

Specific tasks may include:
  • Reviewing applications and enterprise data models (conceptual, logical, physical) to identify data quality problems
  • Configuring test and training data sets for use by team members;
  • Analyzing VA and external databases to identify data quality issues
  • Performing root cause analysis to determine the cause of identified issues
  • Working with VA system owners to identify needed changes (i.e. technical, process, policy, etc.) to prevent future recurrence of identified issues
  • Facilitating working sessions to understand the data quality
  • Guiding development of data quality algorithms, tools, models, and new processes to improve operational efficiency
  • Developing white papers, analyses, and position papers either describing/reviewing /analyzing specific issues, or providing justification or support for recommendations to affect change within VA
  • Creating briefings with impactful visualizations to share with leadership on indicators of data quality
Required Skills and Experience:
  • 5 + years of related experience plus Advanced degree in a quantitative discipline (i.e., mathematics, statistics, economics, operations research, etc.)
  • Experience in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms.
  • Experience working with large datasets using tools like SQL
  • Experience in using statistical modeling and distributed machine learning algorithms on large data sets
  • Experience in text analytics and sentiment-analysis
  • Experience in the use of statistical packages: SAS and R
  • Experience using VA data
  • Experience with data standardization and data governance processes
  • Demonstrated strong communication and presentation skills (particularly to non-technical audiences)
  • Good team player, able to manage multiple assignments, and adapt to changing client needs
  • Ability to work in a dynamic, collaborative, results-driven environment
  • Ability to obtain a NACI clearance
Desired Skills and Experience:
  • MBA/MS in related field (Data Science, Finance, Statistics, Applied Mathematics, etc.) preferred
  • Experience designing and developing analytic algorithms and techniques in support of robotic processing automation, machine learning, and/or other forms of artificial intelligence
  • Experience working with Veterans Affairs (VA), Veterans Benefits Administration (VBA), and/or Veterans Health Administration (VHA) preferred
  • Experience using analytical tools, such as R/R Studio, SPSS, SAS, or advanced data quality/fraud analysis toolkits preferred
  • Experience working with data quality and business improvement initiatives preferred

Clearance: Public trust
ERPi, a Service-Disabled Veteran Owned Small Business (SVDOSB) specializing in management consulting for the federal government (  ERPi is undergoing a period of significant growth and offers talented candidates a chance to perform project management, strategic planning, process improvement, quality management, data analysis, and human capital planning on some of the Federal government’s largest and most complex business challenges. Our work environment is highly entrepreneurial and is staffed with some of the brightest and most capable technical and management consultants in the industry.   ERPi’s compensation and benefits plan are designed to attract and retain the industry’s most capable professionals and executives. We offer tuition reimbursement for selected graduate schools, 401(k) profit sharing, awards to recognize exceptional performance immediately, customized health plans, and charitable donation matching, in addition to competitive base salaries.
EEO Statement:
It has been and will continue to be a fundamental policy of ERPi not to discriminate on the basis of race, color, religion, sex, gender, sexual orientation, gender identity or expression, pregnancy, parental status, marital status, citizenship, national origin, age, disability, genetic information, military status, veteran status, or any other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
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