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Noblis · 23 hours ago

Cleared Data Scientist

Chantilly, VA

Full-time

Hybrid

Senior Level, Lead/Staff

$146K/yr - $228K/yr

8+ years exp

Noblis is seeking a fully cleared Data Scientist to work with Intel clients in developing innovative solutions for mission challenges. The role involves collaborating with teams to apply data science and machine learning processes, focusing on various AI/ML models for tasks such as object detection and decision making.

Information TechnologyNational SecurityNon Profit

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Identify, adapt, and integrate state-of-the-art research and open-source technologies into creative solutions

Develop and train new machine learning models

Identify, curate, and process large data sets

Research, apply, analyze, and document technical approaches and their outcomes

Leverage various computing resources such as GPU clusters and cloud-based compute servers

Qualification

PythonMachine LearningData ProcessingPostgreSQL/SQLSparkGitCloud ComputingTeam CollaborationProblem Solving

Required

Bachelors OR Master's degree with 8 years of experience OR Associates degree and 11 years; OR High School diploma and 13 years of related experience

US Citizenship is required

Active TS/SCI with Polygraph

Proficiency with major data science tools and languages such as Python, NiFi (a plus), PostgreSQL/SQL, Spark, and Git

Experience working with open-source data sets

Experience working with Cyber data to include examples such as (Shodan, Censys.IO, etc.)

Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data

Preferred

STEM degree in computer science, statistics, data analytics, computer engineering, mathematics, and physics

The ideal candidate has proficiency with major data science tools and languages such as Python, NiFi (a plus), PostgreSQL/SQL, Spark, and Git

Experience working with open-source data sets

Experience working with Cyber data to include examples such as (Shodan, Censys.IO, etc.)

Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data

The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus

Experience working with cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure