Principal Data Insight Analyst

US CITIZENSHIP REQUIRED FOR THIS POSITION: No

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE TYPE: Uncleared

TRAVEL: No

Description
Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure. Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our 22,000 employees do the cant be done, solving the most daunting challenges facing our customers. Roles and Responsibilities:
Perform advanced data quality control and analysis of public health related data (e.g., large EMR datasets, large relational databases) using R or Python
Perform statistical analyses, develop advanced data analysis and data visualization tools and applications in R or Python
Develop multilevel statistical models towards specific outcomes
Understand, specify, process and present information from potentially several disparate data sets
Generate actionable knowledge from data
Prepare technical reports and routine data analysis reports using large scale data sets using R or Python
Assist interpreting data analysis findings and offer solutions for issues identified
Communicate and collaborate with other scientists on aspects of study analysis and interpretation Basic Qualifications:
Masters or Doctorate Degree in Statistics, Biostatistics, Engineering, Computer Science, Mathematics, or similar field, including a minimum of 3 years of related work experience and graduate level coursework in statistics
3 years of experience with quantitative analysis and data interpretation
3 years of experience programming in R and/or Python
Experience utilizing Python for developing machine learning models and algorithms, including the use of the following Python machine learning libraries: Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib
Experience working with real world large databases and identifying data gaps and inconsistencies (i.e.- data validation and missingness patterns)
Demonstrated ability of analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources
Excellent organizational skills, commitment to generating accurate data, ability to meet short deadlines, and demonstrated experience in multi-tasking
Experience with cleaning data for analysis (i.e., data munging)
Experience with statistical techniques (e.g., measures central tendency, dispersion, variance, regression)
Experience with both written and oral presentation of data and the ability to interact with senior research staff and external stakeholders
Strong interpersonal and teamwork skills
Adheres to reproducible research
Must be a US Citizen or a Green Card Holder
Must be able to obtain and maintain a security clearance required by the Agency Preferred Qualifications:
Advanced programming in R and experience using machine learning packages (e.g., caret, randomForest, nnet, neuralnet, e1071, hiernet, tree, xgboost, SMOTE, etc.)
Experience developing user-friendly interactive, data insights and visualization tools (e.g. R Shiny applications, PowerBI, Tableau)
Microsoft Certified Azure Data Analyst Associate/Azure Data Fundamentals
Experience developing and supporting Python based AI/ML solutions
Prior CDC and Public Health experience especially OCIO Enterprise Data Analytics and Visualization (EDAV) Azure platform
Experience with cloud platform, preferably Azure (Azure Data Lake, Azure Data Factory, Azure Databricks, Python, and Power BI)
Experience using source control and DevOps tools (such as, Git/Bitbucket, Atlassian Confluence, Jira)

We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.