Data Scientist- Secret Clearance Required

Embark on a data-driven adventure with AG Grace, Inc. as we seek a dynamic and skilled Data Scientist to join our pioneering team. Rooted in the principles of family, excellence, and reliability, AG Grace is committed to pushing the boundaries of innovation in every aspect of our diversified core services.

As a Data Scientist at AG Grace, you'll be at the forefront of leveraging advanced analytics to unlock insights, drive strategic decision-making, and shape the future of our company. Your expertise will be instrumental in developing predictive models, identifying trends, and providing actionable recommendations that contribute to our commitment to quality services and reliable solutions.

Join a company that values your analytical prowess and encourages a collaborative environment where your insights can make a meaningful impact. AG Grace is dedicated to fostering an atmosphere of continuous learning and professional growth, ensuring that our employees thrive in their careers.

If you're passionate about harnessing the power of data to solve complex problems and want to be part of a team that values innovation, AG Grace invites you to apply for the Data Scientist position. Seize the opportunity to be a key player in a company that remains at the forefront of industry trends, where your data-driven expertise meets limitless possibilities. AG Grace: where the future is shaped by the brilliance of our Data Scientists.

Essential Job Responsibilities

• The data scientist will utilize their expertise in machine learning, statistical data analytics, and predictive analytics to help create and implement data solutions and analytics for diverse Department of Defense (DoD) data sets.
• Responsible for the creation of innovative methodologies for extracting key parameters from structured and unstructured data coming from various sensors.
• Capable of applying the latest technologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.
• Experience in data mining, natural language processing, and sentiment analysis of social media datasets.
• Performs project assignments characterized as highly unstructured and complex, having little definition or clarity.
• Systematically design analytical approaches to organizing research into segments and coordinating input from other sources such as subject matter experts from the problem's substantive area.
• Defines the nature of the problem or clarifies issues through extensive coordination, research, and data collection.
• Renders expert judgment concerning the credibility, responsiveness to directives/objectives, and soundness of models and other analytical techniques.
• Prepares reports and briefings that summarize results derived from documentation, assumptions, facts, and approaches.
• Demonstrated ability to work well independently with little input, and as a part of a team
• Other duties as assigned.
• Work a hybrid schedule with the local team members.

Minimum Qualifications

• A current Secret level U.S. Government clearance is required and therefore all candidates must be a U.S. Citizen. Can also consider candidates with a TS clearance as well.
• 5 years of Data Science or similar experience with Bachelors in related field; OR 3 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 9 years relevant experience.
• Strong familiarity with machine learning, data mining, dimensionality reduction, and related analytics methods (e.g., clustering, sequences, networks, time series, deep learning, regression analysis, time series, probabilistic models, supervised classification and unsupervised learning, statistical analytics, etc.).
• Experience with mathematical programming languages such as Python and R and their data science libraries.
• Experience with using business intelligence tools (e.g., Jupyter, Tableau, Amazon Sagemaker)
• Familiar with scalable distributed data processing, management, and visualization tools.
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Must be able to work in a hybrid role with some on-site customer interaction.

Preferred Requirements

• Experience with large scale machine learning model generation
• Experience with DoD data types and current DoD Data Strategies