Advanced Technology Scientist - (ALL Levels)

Interested in meaningfully contributing and joining our multi-disciplinary team focused on developing solutions for law enforcement and homeland security missions? Want to be exposed to, and help build cutting-edge tools and services that address high-consequence problems using advanced technology like analytics, computer vision, digital forensics, natural language processing, machine learning? Ready for a high-energy, dynamic work environment? This multi-faceted opportunity might be right for you.

You would join our team as an advanced technology scientist, conducting research, leading assessments, and developing models and algorithms in one or more highly-technical and advanced domains such as computer vision (CV), digital forensics, natural language processing (NLP), Artificial Intelligence (AI), Machine Learning ML), and other data science areas like media analytics and cyber to enhance law enforcement and homeland security capabilities to handle, process, analyze, visualize, and translate information into actionable information.

**Abilty to work virtually**

Required Qualifications:

• Experience - multiple levels can be accommodated, degrees must be in a Technology, Engineering, or Computer Science (or related field)*
  • Entry-level: Bachelors Degree + 0 years work experience OR High School Diploma OR GED + 4 years work experience
    • Compensation: $72,800 - $127,400
  • Mid-level: Bachelors Degree + 2-4 years work experience or Masters Degree + 0-2 years work experience
    • Comepnsation: $72,800 - $169,600
  • Senior-level: Bachelors Degree + 6-8 years work experience or Masters Degree + 4-6 years work experience
    • Compensation: $96,900 - $225,900
  • SME-level: Bachelors Degree + 10-12 years work experience, Masters Degree + 8-10 years work experience, or a PhD Degree and demonstrated domain expertise
    • Compensation: $129,100 - $273,300

• Hands on experience and demonstratable expertise in your domain area of computer vision (CV), digital forensics, natural language processing (NLP), Artificial Intelligence (AI), Machine Learning ML), and other data science areas like media analytics and cyber
• Hands on experience with several of the following:
  • Design frameworks and libraries: Torch, PyTorch, OpenCV, Tensorflow, Caffe, Amazon Machine Learning, Apache Singa, Microsoft CNTK, Scikit-learn, scikit-image, NLTK
  • Development, deployment, and visualization using software like: SQL, R, Apache Mahout, d3.js, Tableau, Weka, Orange, as well as open source and other emerging technologies/frameworks
  • Development frameworks such as React, Spring Boot, Vue.js, Bootstrap
  • Programming languages and scripting methods including: Python, C, C++, Java, .NET, Bash, AWK
  • Version control systems such as git
  • Container orchestration platforms such as Docker
  • Microservice architectures and any of the following configuration management systems: Ansible, Packer, Terraform, Kafka, NiFi
• Comfort facilitating machine learning workloads over command line on multi-tenant GPU clusters
• Hands on experience decomposing complex technology topics into visualizations and terms suitable for a variety of audience expertise levels
• Is comfortable developing solutions on Linux systems, but able to develop/deploy on other operating systems such as Windows
• Ability to obtain a Top Secret clearance

• Has experience working with law enforcement clients
• Complements our existing team, likes solving problems, and is comfortable with ambiguity
• Can self manage, has strong self-organization skills, and is eager to contribute
• Strives to be an excellent scientist, is eager to explore new technologies, and develop new skills
• Is comfortable working with teams across geographic bounds
• Desire to work in an agile and cross functional team environment, understand team goals and generate appropriate, innovative analytical insights to drive process and experience improvement
• Challenges the status quo and are hungry to explore, evaluate, and understand new technologies

• 
  Compensation range will vary based on level, location, clearance and experience.