Cleared Data Scientist

Noblis; Chantilly (VA); On-site; USD 90,700 - 141,775; Full time

Benefits offered by this job

Health benefits

Paid leave

Professional development

Tuition assistance

Retirement benefits

Job summary

Noblis is seeking a full cleared (TS/SCI with Polygraph) Data Scientist to join our team in Chantilly, VA. In this role, you will support intelligence community missions by developing data-driven solutions using machine learning and statistical analysis. The ideal candidate will collaborate with cross-functional teams, apply advanced analytics, and contribute to capabilities such as object detection and facial recognition.

Your experience in analyzing cyber data and using tools like Python is crucial for success. A focus on continuous learning and personal growth is part of our rewarding environment.

Qualifications

• Active Top-Secret SCI (TS/SCI) with Polygraph.
• Experience analyzing cyber data and applying data science techniques.
• Demonstrated ability to clean, manage, and optimize large-scale datasets.

Responsibilities

• Designing, building, and training machine learning models.
• Analyzing and interpreting large, complex datasets.
• Utilizing high-performance computing resources including GPU clusters.

Skills

Python

SQL/PostgreSQL

Data Visualization (e.g., Tableau)

Machine Learning

Statistical Analysis

Data Mining

Education

Bachelor's degree with three years of experience - OR - associate's degree with six years of experience - OR - High School diploma/GED with nine years of experience

Tools

Apache NiFi

Spark

Job description

Responsibilities

Noblis is seeking a full cleared (TS/SCI with Polygraph) Data Scientist to join our team in Chantilly, VA!

As a Data Scientist, you will support intelligence community missions by developing data-driven solutions using machine learning, statistical analysis, and data mining. You’ll collaborate with cross-functional teams to apply advanced analytics and AI, while also supporting model lifecycle management, including versioning and vulnerability identification.

Your work will directly contribute to capabilities such as object detection, data triage, search optimization, inference, facial recognition, behavior analysis, and automated decision-making.

The ideal candidate will have experience analyzing cyber data and applying data science techniques to solve customer problems, using technologies such as Python.

Job Responsibilities

• Working with open-source data and statistical software packages, cloud services, and AI/ML technologies to find patterns and relationships in large volumes of data.
• Analyzing and interpreting large, complex datasets.
• Exploring and modeling data to uncover patterns and features of interest.
• Designing, building, and training machine learning models.
• Collecting, curating, and processing large-scale structured and unstructured datasets.
• Researching, implementing, and documenting analytical approaches and outcomes.
• Utilizing high-performance computing resources, including GPU clusters and cloud-based platforms.
• Applying data visualization (e.g., Tableau) to communicate findings to stakeholders.

Required Qualifications

• Active Top-Secret SCI (TS/SCI) with Polygraph.
• Bachelor's degree with three years of experience - OR - associate's degree with six years of experience - OR - High School diploma/GED with nine years of experience.
• Proficiency in data science tools and technologies such as Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus).
• Experience analyzing data in Python.
• Experience with data visualization tools (e.g., Tableau).
• Experience or knowledge with machine learning, statistical modeling, and/or time-series forecasting.
• Experience or knowledge working with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
• Experience or knowledge working with Cyber data to include examples such as Shodan and Censys.IO.
• Experience or knowledge working with open-source datasets.
• Demonstrated ability to clean, manage, and optimize large-scale datasets.
• Fundamental understanding of a range of AI techniques and ability to match techniques to problems.
• Ability to effectively communicate technical concepts to a variety of audiences verbally and in writing.
• US Citizenship is required.

Desired Qualifications

• Familiarity with developing, retraining, or using AI and Machine Learning packages.
• Knowledge of software and hardware optimization techniques for large-scale data processing.
• Proficient in data warehousing, data management, and ETL tools (e.g., Apache NiFi, Pentaho, Kafka).

Total Rewards

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs.

Compensation

Compensation at Noblis is determined by various factors, including but not limited to education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full-time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked.

Posted Salary Range

USD $90,700.00 - USD $141,775.00 per year.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.

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