Senior Data Scientist

4 days ago

Annapolis, United States Blue-Halo.org Full time
Overview

At BlueHalo our Cyber experts operate at the mission's edge. Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.

Our team is expanding to do the big things that have never been done before - the things the nation and the world are counting on us to deliver. Join the transformation and help us make this impact now.

As a Senior Data Scientist with our Intel Division, you will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

If that sounds like you and you're ready to make an impact now, not later, read on for the details and apply to make the most of your career.

You'd like to do this

  • Produce data visualizations that provide insight into dataset structure and meaning
  • Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
  • Incorporate SME input into feature vectors suitable for analytic development and testing
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
  • Develop statistical tests to make data-driven recommendations and decisions
  • Develop experiments to collect data or models to simulate data when required data are unavailable
  • Develop feature vectors for input into machine learning algorithms
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
  • Oversee the development of individual analytic efforts and guide team in analytic development process
  • Guide analytic development toward solutions that can scale to large datasets
  • Partner with software engineers and cloud developers to develop production analytics
  • Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
  • Lead a team of data scientists in the development of multiple analytic efforts
  • Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
  • Guide the transition of prototyped analytics to production system
  • Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
  • Delegate analysis responsibilities to one or more team members and monitor performance
You're required to have this
  • Bachelor's degree or higher from an accredited college or university in a quantitative discipline
  • Ten (10) years of experience in two (2) or more of the following:
  • Designing/Implementing machine learning
  • Data mining
  • Advanced analytical algorithms
  • Advanced statistical analysis
  • Artificial intelligence
  • Software engineering with data analysis software such as R, Python, SAS, or MATLAB.
  • An active TS/SCI with a Polygraph


About BlueHalo Intelligence Systems

BlueHalo's Intel division provides specialized operational support, services and technology to plan, design, develop and execute critical missions in the national security community. BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence. BlueHalo is a national source for classified Cyber/SIGINT missions and a leading provider of blockchain/crypto analytics and platform cyber resiliency, specializing in offensive and defensive cyber and SIGINT warfare technologies.

Leading the Transformation

The BlueHalo Effect

It speaks to who we are as a company, a global protective ring that shields everything we most want to safeguard, an unbroken line that ensures our customers retain the advantage in any battlespace, from high above the Earth to deep in cyberspace. It's who we are, a halo, a protector, the light of inspired engineering keeping our Nation safe.

Our vision is a world where national security is certain because technical superiority is assured.

Join us and become a vital element of The BlueHalo Effect

EEO Statement

BlueHalo is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions.

If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of the employment process, please send an email to Recruiting@bluehalo.com. Please indicate the specifics of the assistance needed. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries.

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