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Noblis is seeking a fully cleared Data Scientist in Chantilly, VA.
As a Data Scientist with our team, you will be working with our Intel clients to rapidly develop innovative solutions for immediate mission challenges. In your role, you will work on teams with other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. As a data scientist you will be working alongside cyber analysts to provide them services to develop AI/ML models on selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models.
Job 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. Required Qualifications
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. Desired Qualifications
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
Posted Salary Range USD $146,200.00 - USD $228,400.00 /Yr.
Certificates/Security Clearances/Other
Active Top Secret - SCI clearance required (US Citizenship)
Sprachkenntnisse
- English
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