Cleared Data Scientist
Noblis · Chantilly, VA · 2 wk ago
Engineering$91k/yrFull-time
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 (3) years of experience - OR - Associate's degree with six (6) years of experience - OR - High School diploma/GED with nine (9) 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 (GCP), or Microsoft Azure
- Experience or knowledge working with Cyber data to include examples such as Shodan and Census.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
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)