Data Scientist, Senior/Level 3

Responsibilities

Arcfield's Cyber programs are expanding and currently in need of Data Scientist, Senior/Level 3 professionals providing data management and analysis to assist in recommending changes to the Government that can improve operational effectiveness and support decision making.

Note: An offer for this position is contingent upon contract award.

Responsibilities include, but are not limited to the following:

• Extract, transform, load, analyze, and interpret relevant information assurance (IA) data for timely analytic use
• Provide reports on associated patterns, anomalies, and potential security concerns
• Analyze historical data to gain insights, understand patterns, anomalies, and potential security considerations, and present findings clearly and concisely
• Conduct predictive analytics to prepare models and algorithms for identifying, characterizing, and forecasting future outcomes
• Perform prescriptive analytics to recommend optimal actions
• Integrate analytic findings and outcomes into other cybersecurity products and processes, including Continuous Monitoring
• Conduct ongoing research on emerging data science methodologies and technologies, providing reports and recommendations for adoption
• Assist in creating, editing, managing, and archiving information within data sources
• Ensure accuracy of datasets and records
• Support relevant data management activities
• Work on complex technical problems and provide innovative solutions
• Analyze unstructured and semi-structured data using advanced techniques such as latent semantic indexing (LSI), entity identification and tagging, and complex event processing (CEP)
• Apply analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
• Handle processing and index requests for high-volume data collections and high-velocity data streams
• Develop and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques
• Utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data
• Deliver recommendations for business and analytic decisions based on data insights
• Work with various software development stacks, data transport and transformation APIs, and technologies
• Utilize cloud-based data analysis tools, visual analytic tools, and open-source textual processing technologies
• Apply machine learning, algorithm analysis, and data clustering techniques in data science projects

Qualifications

Required:

• Must possess and and be able to maintain a TS/SCI clearance with Poly
• BS 10-12, MS 8-10, PhD 5-7
• 7 years of experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field
• Demonstrate ability to prepare and analyze data visualizations
• Demonstrate ability to select appropriate analytical approaches towards automation
• Demonstrate ability to review and refine requirements for data science cybersecurity approaches
• Demonstrate strong understanding of Large Language Models (LLMs)
• Demonstrate strong understanding of machine learning principles, techniques, and technologies
• Demonstrate strong knowledge of data engineering
• Demonstrate strong knowledge of data management
• Familiar with Agile processes (Scrum, Jira, Confluence)
• Strong working experience with numerous projects on the following or equivalent:
  • AWS
  • Spark
  • Kafka
  • Tableau
  • Python (e.g. TensorFlow and PyTorch)
  • R (e.g. tidyverse, Rshiny)
  • Splunk
  • Familiarity with Agile or equivalent project management process

Desired:

• Exposure to cybersecurity applications or operations
• A STEM degree in data science, mathematics, statistics, business analytics, or equivalent quantitative field
• Experience with various software development stacks, data transport and transformation APIs, and technologies
• Ability to utilize cloud-based data analysis tools, visual analytic tools, and open-source textual processing technologies
• Experience with software development stacks, data transport and transformation APIs, and technologies
• Demonstrated experience working on complex technical problems and provide innovative solutions
• Ability to deliver recommendations for business and analytic decisions based on data insights

EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.