Job #: R-00163801
Location: Remote, US
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Remote Type: Remote
Clearance: ADP2 / IT2
External Referral Program: Ineligible
Sector: Health & Civil
Description

KNOWLEDGE AND SKILLS:

• Proficient in analyzing large, diverse datasets to extract insights by using advanced statistical methods and programs.
• Proficient in data analytical techniques to identify statistical relationships, interpret results, present data and identify recommendations.
• Proficient in understanding the collection, processing, and evaluation of data to generate actionable insights and forecasts for decision making.
• Proficient in working with large datasets/models to include establishing and enforcing policies and procedures for managing data assets and ensuring data quality, integrity, and security.
• Proficient in statistical programming (e.g. SAS, Python, R) to link and integrate datasets and perform analyses, identify meaningful patterns.
• Proficient in SQL for data extraction and manipulation.
• Proficient in MHS healthcare data to include institutional, non-institutional, pharmacy, radiology, laboratory, and other healthcare-related data.
• Proficient in standards, principles, theories, concepts, or techniques in the data analytics domain.
• Proficient in statistical concepts, algorithms, querying and automated processes to extract, model, integrate, and evaluate complex datasets and business problems for practical application.
• Extract and analyze data to draw logical conclusions and provide efficient data presentation techniques regarding analysis.
• Conduct data reviews, data validation, and data quality actions.
• Communicate effectively, orally and in writing, and establish and maintain cooperative working relationships with directors, government customers, CDAO staff, other data analysts, internal and external collaborators, other technical resources, etc.
• Read, understand, and interpret health technical information.
• Address complex data analytical issues/problems, to include large datasets/models, using internal best practice and thorough collaboration with colleagues; works to influence team members regarding design, process, and/or approach to develop analytical products.
• Develop solutions to data analytics problems and issues that require depth of technical knowledge, deep analyses, and understanding of impact on the end-product; may require collaboration with other analytical SMEs.
• Work independently to achieve day-to-day objectives with significant impact on operational results or project deliverables; responsible for entire data analytical projects or processes and assists in reviewing the work of other data analysts (data quality).
• Manage multiple projects at once and reprioritize projects as necessary.

BASIC QUALIFICATIONS

• Bachelors degree in relevant discipline and 6-8 years of prior relevant experience or Masters degree with 4-6 years of prior relevant experience
• Minimum of 3 years working with Military Health System (MHS) data or other healthcare data
• Proficient with MHS data repositories, i.e., MDR, M2, Redshift, SQL Farm, EAS-IV, and DMHRSi
• Proficient in SAS, R, Python, or SQL programming
• Proficient in Business Objects, Tableau, Excel, QlikView, or similar Data Visualization Tools
• Proficient in Microsoft Office products (Word, PowerPoint, Excel), with advanced experience in Excel
• Ability to multi-task
• Ability to work independently
• Ability to lead project tasks from start-to-finish to include fully documenting analytical and quality control processes
• Excellent written and verbal communication skills
• Must be a US citizen and able to obtain an IT/ADP II Public Trust

PREFERRED QUALIFICATIONS

• 7+ years’ experience with MHS Data
• 7+ years’ experience working MDR, M2, Redshift, SQL Farm, EAS-IV, and DMHRSi
• Expert in SAS
• Advanced SQL, R, and/or Python
• Masters degree in relevant discipline (e.g., Biostatistics, Data Science, Mathematics, Health Policy, Operations Research)
• Previous or current favorable Public Trust or Clearance
  Come break things (in a good way). Then build them smarter.
  We’re the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

• Perform and support data management tasks that deliver a complete view of Military Health System (MHS) health care data throughout the enterprise to the analytic community and MHS leadership.
• Develop, apply, update, forecast, and teach MHS information derived from DHA policy-driven measures and methodologies.
• Develop, maintain, and teach various courses for data analysts from all levels of the MHS, i.e., what data is available to them and how to use the analytic tools provided by the MHS.
• Subject matter expert (SME) of data residing in MHS Data Repository (MDR), MHS Mart (M2), Redshift, and SQL Farm.
• Work with MHS GENESIS data in Health Data Intelligence (HDI).
• Perform data extraction and analysis, statistical data modeling, and forecasting of MHS data to include direct care admissions and professional services, purchased care healthcare claims, pharmacy, ancillary services, Defense Enrollment Eligibility Reporting System (DEERS), Medical Expense and Performance Reporting System (MEPRS) financial and personnel, and Defense Medical Human Resource System internet (DMHRSi). This includes healthcare data from legacy CHCS/AHLTA systems and MHS GENESIS.
• Attendance at and participation in required meetings in support of CDAO objectives.