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Sr. Data Scientist

TS/SCI Eligible

Confirmed live in the last 24 hours



1,001-5,000 employees

Commercial ISR platform focusing on advanced technology



Charlottesville, VA, USA

Data Science
Data & Analytics
Required Skills
Data Science
Data Structures & Algorithms
Apache Spark
Apache Kafka
Data Analysis
  • Clearance: TS/SCI Eligible
  • Mon - Friday on site support in Charlottesville, VA
  • Security+ Certification
  • Expertise in analytics tools including R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)
  • Expertise in the analysis and interpretation of data including the understanding of mathematical and statistical concepts
  • Proficiency in exploratory data analysis and interpreting data
  • Expertise with statistical modeling, machine learning algorithms, and analytics techniques like Regression, Classification, Clustering, Dimensionality reduction
  • Proficiency in AWS: Redshift, S3, SageMaker
  • Hands-on experience in Python and knowledge of SQL
  • Expertise working with cloud technologies such as AWS, Kafka, Spark, Storm, or Hadoop
  • Expertise with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning
  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, or a related Engineering degree required
  • Advanced degree in Computer Science or other quantitative field preferred
  • 10+ years of experience in analytics space
  • Support the definition and documentation of functional and performance requirements, modes of operation, technical performance measures, measures of effectiveness, design characteristics, and human factors requirements
  • Use scientific methodologies to develop and test models for scalable predictive and prescriptive analytics solutions
  • Create innovative statistical models and technical approaches that address complex business issues
  • Conduct exploratory data analysis and create compelling visualizations using complex and high-dimensional datasets
  • Identify suitable machine learning or statistical approaches depending on type of problem and train models for optimal performance, including hyperparameter tuning
  • Determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional teams to address and drive continuous improvement
  • Validate and monitor models to ensure consistent performance and avoid performance degradation
  • Deploy models into production with assistance from Product Engineers
  • Lead technical and analytics capability building within the analytics team in order to stay current on best practices and new modeling techniques
  • Responsible for generating and maximizing value from analytics solutions
  • Utilize data lakes to compile a useable and actionable format from multiple disparate sources
  • Identify patterns and trends in datasets, design algorithms and data manipulation capabilities using Python and various libraries, and use machine learning techniques to improve the quality of data for the customer
  • Work collaboratively with Intelligence and Data Analysis teams to produce qualitative and quantitative data that support intelligence products

SMX specializes in a commercial ISR platform that integrates traditional and non-traditional ISR, leveraging advanced technology, security, compliance, and scalability as standard. The platform focuses on accelerating insights, automation, and mission enablement for better outcomes, value, and agility.

Company Stage


Total Funding



Hollywood, Maryland



Growth & Insights

6 month growth


1 year growth


2 year growth