Data Scientist

EverWatch • Annapolis Junction, MD

6d

About The Position

EverWatch is seeking a Data Scientist to help transform complex structured and unstructured datasets into useful information for challenging government missions. The role involves working closely with clients to understand their questions and needs, analyzing data-rich environments, and developing algorithms and systems that turn disparate data into objective answers. The Data Scientist will use data science expertise and leadership to guide teammates and support informed client decisions.

The position focuses on applying statistical analysis, machine learning, artificial intelligence, and related methods to real-world problems. The role requires a TS/SCI clearance with a polygraph and either a bachelor's degree in a quantitative discipline with 10 or more years of relevant experience, or a high school diploma or GED with 14 or more years of relevant experience. The projected compensation range is $96.16 to $115.39 per hour. The position is located in Annapolis Junction, Maryland.

Requirements

• Experience with statistical and general-purpose programming languages for data analysis, such as R, Python, SAS, or MATLAB.
• Experience analyzing structured and unstructured datasets.
• Experience developing and validating machine learning or statistical models.
• Experience developing feature vectors and tuning analytical algorithms.
• Experience translating customer requirements into analytical solutions.
• Experience leading data science teams and analytical development efforts.
• TS/SCI clearance with a polygraph.
• Bachelor's degree in a quantitative discipline and 10 or more years of experience in machine learning, data mining, advanced statistical analysis, artificial intelligence, or data analysis software development; alternatively, a high school diploma or GED and 14 or more years of such experience.

Nice To Haves

• Experience developing statistical tests, experiments, or simulated datasets.
• Experience evaluating models using cross-validation, ROC curves, or confusion matrices.
• Experience transitioning analytical prototypes into production systems.
• Experience developing scalable analytics for large datasets.
• Experience integrating analytics into production workflows with software or cloud engineers.
• Experience creating data visualizations and analytical reports.
• Experience applying emerging machine learning or pattern recognition algorithms.

Responsibilities

• Work with clients to understand their questions and needs.
• Analyze structured and unstructured data in data-rich environments.
• Guide teammates and lead the development of algorithms and systems.
• Use appropriate tools and frameworks to turn disparate data into objective answers that inform client decisions.
• Provide insight into data, its meaning, and potential uses.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior