Data Scientist - Entry Level

• Research and development of tools and techniques used in data science applications such as machine learning algorithm test and evaluation.
• Design, build, modification, and implementation of software applications that apply data science, algorithmic, and machine learning methods.
• Develop machine learning techniques to perform data analysis.
• Perform data preparation and labelling, training, and evaluation of machine learning algorithms.
• Develop software tools to automate workflow and tasks such as data preparation and labelling.
• Follow user requirements and documentation to code, modify and debug programs for assigned projects or functional areas.
• Apply standard practices to analyze programs and formulate logic, prepare flowcharting, perform coding, and test/debug programs.
• Prepare and obtain approval of system and programming documentation.
• Review system requirements and processes.
• Support system testing as needed.
• Capability of traveling at least 25% domestically.

‍

Key Qualifications

• Successful completion of study from an accredited college or university leading to a bachelor’s degree in software engineering, computer science, data science, math, physics or related analytical field from an accredited college or university.
• Experience in solving problems in computer vision related to object detection, anomaly detection, etc.
• Software development experience, using languages such as C++, Matlab, and Python.
• Strong oral and written communication skills.
• Highly motivated and self-starter with a strong desire to learn.
• Sole US Citizenship with eligibility and willingness to obtain and maintain a DoD Secret Security Clearance and to obtain both TSA and DHS Suitability.
• Capability of traveling at least 25% domestically.
  
  

Preferred Qualifications

• Background in python and the data science stack (numpy, scikit-learn, etc), and deep learning frameworks such as PyTorch, TensorFlow, etc.
• Familiarity with deep learning explainability and interpretability methods.
• Familiarity with data synthesis using deep learning methods.
• Image analysis using ImageJ and OpenCV.
• Experience in any of the following: Docker, Git.
• Experience in user interface design and implementation.
• Prior laboratory testing experience.
• Prior experience working for TSA or DHS.
• DoD Secret security clearance.

‍