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Arcfield · 1 month ago

Data Scientist, Senior/Level 3

Chantilly, VA

Full-time

Onsite

Senior Level

7+ years exp

Arcfield is expanding its Cyber programs and is seeking Senior Data Scientist professionals to provide data management and analysis. The role involves recommending changes to improve operational effectiveness and support decision-making through advanced data analytics.

ConsultingManagement Consulting

Comp. & Benefits

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

TS/SCI clearance with PolyData science experienceMachine learning principlesData engineeringData managementAWSSparkKafkaTableauPythonRSplunkAgile processesData visualizationAnalytical approachesLarge Language ModelsComplex technical problems

Required

Must possess and 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