Senior Data Scientist
PeratonAbout the role
Responsibilities
Peraton seeks a Senior Data Scientist to support ARCYBER in Fort Eisenhower, GA.
In this role, you will be a part of a team of data engineers and employ statistics, analytics, systems technology, and business intelligence to provide analysis in support of achieve of Army and Joint operational efforts.
Tasks include:
- Assemble large, complex sets of data that meet ARCYBER’s mission requirements
- Identify, design, and implement internal process improvements for greater scalability, optimizing data delivery, and automating manual processes
- Build analytical tools to utilize data pipelines, providing actionable insight into performance metrics that improve operational efficiency
- Coordinate with a wide range of stakeholders such as end users, SMEs, and technical staff from data vendors
- Work with stakeholders and assist them with data-related technical issues
- Develop clear and concise technical documentation including data models, architecture and data workflow diagrams, design documents, and deployment documents
- Create technical guidance documents with data maps and conditions
- Work independently with Stakeholders and Industry to approve technical guidance
Qualifications
Required:
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider HS+16 years experience.
Must be capable of developing complex Python scripts.
Must have experience in development and support activities in cloud-based environments using big data technologies and programming languages/tools such as Scala, Spark, PySpark, Presto, Ranger, Hadoop, and Hive (at least 3 years of experience).
Must have experience working in Amazon Cloud environment using tools such as S3, EMR, Databricks, Data Lakes, AWS Glue, Amazon StageMaker, Amazon Redshift.
Must have experience in designing, developing, and supporting Web Services (RESTful/SOAP) and Web Scraping (HTTP, CSS, and HTML) ETL/ELT processes.
Must be familiar and have experience working with complex file formats of structured, unstructured, and semi-structured data including JSON, XML, CSV, Avro, Parquet.
Must have experience and knowledge working with AWS cloud tools, Redshift data warehouse service, Git and GitLab, and industry XML data exchange message formats, required modifications, or extensions.
- Excellent analytic skills associated with working on unstructured datasets
- Active TS/SCI clearance with a CI Poly and MEAD SIP cleared for Fort Eisenhower, GA.
Preferred:
- Prefer IAM Level I certification
Target Salary Range
$112,000 - $179,000. This represents the typical salary range for this position based on experience and other factors.Apply for this role
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