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U.S. Department of Veterans Affairs · 7 hours ago

Data Scientist

West Haven, CT

Full-time

Onsite

Entry Level

$124K/yr - $161K/yr

1+ years exp

The U.S. Department of Veterans Affairs is seeking a Data Scientist to evaluate specialized mental health systems. The role involves conducting program evaluation projects using large healthcare data sets and applying statistical methods and advanced data analysis techniques to derive meaningful insights.

GovernmentMedicalNational SecurityPublic Safety

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Conceptualize and conduct program evaluation projects involving large healthcare data sets - utilizing knowledge from multiple research fields to bridge diverse disciplines

Identify methods - processes - algorithms - tools - and systems for extracting and interpreting findings from both structured and unstructured data sets throughout the data science lifecycle

Apply professional knowledge of computer science - mathematical - and statistical theories to gather - analyze - design - and construct new processes for modeling - interpreting - and reporting quantitative data

Analyze trends - relationships - and correlations within and between data sets - ensuring accurate and meaningful insights are produced

Utilize versatile skill sets in Data Analytics - Modeling - Optimization - Governance - and Visualization to enhance data analysis

Apply statistical methods and techniques to improve and refine data analysis

Use programming languages and environments (e.g. - SQL - Python/R/SAS - PowerShell/CMD/Bash) to process and manipulate data

Conduct advanced analysis using regression - machine learning - and natural language processing to interpret complex data sets

Work with large - complex data sets applying Big Data principles for storage - processing - and analysis

Write and optimize programs that utilize large relational datasets for complex measurements - analysis - and summarization of data

Use multiple software packages and operating system environments suitable for working with - manipulating - and analyzing large datasets

Actively participates in national initiatives involving data syndication and data interoperability and collaborates with internal and external subject matter and data experts in data innovation and migration projects

Performs other related duties as assigned

Qualification

SQLPower BIMachine LearningStatistical AnalysisData VisualizationData ExtractionData MiningMathematical ModelingAnalytical ThinkingCustomer ServiceData ManagementResearch

Required

Degree: Mathematics - statistics - computer science - data science or a field directly related to the position

The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position

Courses equivalent to a major field of study (30 semester hours) as shown above - plus additional education or appropriate experience

One year of specialized experience that equipped you with the knowledge - principles - and other guidelines to successfully perform the duties of this position

Specialized experience must have been equivalent to at least the next lower graded level (GS-12) in the Federal service

Qualifying experience includes: writing SQL code; performing Corporate Data Warehouse (CDW) data extraction; using advanced data visualization software particularly Power BI; conducting program evaluation projects involving large healthcare data sets using knowledge of multiple fields of research that bridge diverse disciplines; performing complex analyses of the data using techniques such as regression analysis - statistical analysis - mathematical modeling and programming - machine learning - natural language processing - deep learning - spatial analysis - etc.; and developing ad hoc analyses and business intelligence processes to answer specific questions or using data mining methods to discover previously unidentified relationships between variables

Comprehensive computer programming knowledge and skills and experience writing SQL code - performing Corporate Data Warehouse (CDW) data extraction - and using advanced data visualization software particularly Power BI

Analytical Thinking

Customer Service

Data Management

Data Systems

Database Administration

Database Management Systems

Research