Alabama

  Data Science

Permanent

Our client is committed to advancing sensor data processing technologies and scientific instrumentation capabilities within the Defense Manufacturing industry. Prioritizing innovation, the company specializes in developing cutting-edge tools, offering unparalleled data exploitation capabilities to clients across the U.S. government.

They are currently seeking a Data Scientist to join their Machine Learning Operations (MLOps) team in Huntsville, Alabama. The successful candidate will be responsible for various tasks, including the development of ML prototype solutions, as well as collaborating on the creation of ML models and automated systems.

Responsibilities:

  • As a Data Scientist, you will be responsible to retrieve and process extensive structured and unstructured datasets.

  • You will construct ML models and automated systems, incorporating recommendation and scoring tools.

  • Conduct statistical analysis and data mining to formulate predictive systems.

  • Develop ML prototype solutions utilizing technologies such as TensorFlow, PyTorch, etc. and test ML applications using Python, Linux and Docker.

  • Present methodology and results to both technical and non-technical audiences.

  • Collaborate with teams to articulate crucial findings and exchange best practices and domain knowledge.

Skillset:

  • Top Secret Security Clearance is a must. 

  • Master’s or Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.

  • Substantial experience in the capacity of a Data Scientist or within an advanced analytical role.

  • Proficiency in Python, R, SQL, statistics, and data mining.

  • Demonstrated deep understanding of machine learning and deep learning techniques.

  • Exceptional communication skills.

Benefits:

  • Salary: $152-218k DOE.

  • Stock options.

  • 401K.

  • Comprehensive health insurance. 

  • Flexible Work Hours.

If this sounds like the role for you, apply now in the link below or email your resume directly to kyle@alldus.com for consideration.

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