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.