Hybrid Data Scientist Data Scientist with verification

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Responsibilities

We are Hiring! We are looking to add a Data Scientist to the team. This position is remote supporting the CDC Program located in Atlanta, GA.

What you will do:

• Leverage advanced statistical and machine learning techniques to uncover complex patterns in data, build predictive models, and solve complex business problems.
• Train ML models using automated hyper-parameter tuning frameworks.
• Perform advanced data quality control and analysis of public health related data (e.g., large EMR datasets, large relational databases) using Python (PySpark) or R
• Cleanse data (data munging) and prepare datasets for analytics
• Perform statistical analyses, develop advanced data analysis and data visualizations and applications in Python and/or R
• 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
• Assist interpreting data analysis findings and offer solutions for issues identified
• Communicate and collaborate with other scientists on aspects of study analysis and interpretation
• Ability to comprehend and analyze complex problems
  
  

Qualifications

Required Qualifications:

• 5 years with BS/BA. Additional 4 years of experience maybe accepted in lieu of the degree.
• Experience with statistical techniques (e.g., measures central tendency, dispersion, variance, regression)
• Experience with cleaning data for analysis (i.e., data munging)
• Experience working with real world large databases and identifying data gaps and inconsistencies (i.e.- data validation and missingness patterns)
• Experience with quantitative analysis and data interpretation
• Eperience programming in PySpark/Python programming for Statistical analyses and data management
• Familiarity with AI/ML tools and experience with operational machine learning pipelines.
• Experience with MLOps tooling/workflows
• Experience with cloud platform, preferably Azure (Databricks, Azure Data Lake, Azure Data Factory, Python, and Power BI)
• Experience developing and supporting Python based AI/ML solutions
• Experience in 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
• 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
• Experience with using R-Studio/R
• 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 the required Agency Clearance
  
  

Preferred Qualifications:

• Microsoft Certified Azure Data Scientist Associate/Azure Data Analyst Associate/Azure Data Fundamentals
• Demonstrated application of innovative statistical and machine learning methods in public health practice
• Prior CDC and Public Health experience especially CDC OCIO Enterprise Data Analytics and Visualization (EDAV) Azure platform
• Experience with 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)
• Excellent organizational skills, commitment to generating accurate data, ability to meet short deadlines, and demonstrated experience in multi-tasking
  
  

Benefits:

At Peraton, our benefits are designed to help keep you at your best beyond the work you do with us daily. We're fully committed to the growth of our employees. From fully comprehensive medical plans to tuition reimbursement, tuition assistance, and fertility treatment, we are there to support you all the way.

Target Salary Range

$80,000 - $128,000. This represents the typical salary range for this position based on experience and other factors.

SCA / Union / Intern Rate or Range

EEO

An Equal Opportunity Employer including Disability/Veteran.

Our Values

Benefits

At Peraton, our benefits are designed to help keep you at your best beyond the work you do with us daily. We're fully committed to the growth of our employees. From fully comprehensive medical plans to tuition reimbursement, tuition assistance, and fertility treatment, we are there to support you all the way.

• Paid Time-Off and Holidays
• Retirement
• Life & Disability Insurance
• Career Development
• Tuition Assistance and Student Loan Financing
• Paid Parental Leave
• Additional Benefits
• Medical, Dental, & Vision Care