Data Scientist

We are seeking a highly skilled Data Scientist to join our team in Linthicum, MD.

In this role you will:

• Analyze data sources to provide actionable recommendations.
• Conduct hypothesis testing using statistical processes.
• Program custom algorithms.
• Utilize technical documentation or resources to implement a new mathematical, data science, or computer science method.
• Build predictive, prescriptive, or descriptive models in collaboration with stakeholders.
• Plan and conduct complex analytical, mathematical, and statistical research that informs operational requirements.
• Plan, coordinate, and execute complex studies using advanced data modeling techniques and procedures, data trend analysis, and data algorithms.
• Train and evaluate machine learning models.
• Write and document reproducible code.
• Assist integrated project teams identify, curate, and manage test data.
• Utilize open source languages, as appropriate, and apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non-parametric tests of difference, ordinary least squares regression, general line).
• Analyze and plan for anticipated changes in data capacity requirements.
• Analyze information to determine, recommend, and plan the development of a new application or modification of an existing application.
• Provide recommendations on new database technologies and architectures.
• Confer with systems analysts, engineers, programmers and others to design applications.
• Advise higher level leadership on critical data management issues.
• Examine and identify database structural necessities by evaluating operations, applications, and programming.
• Effectively allocate storage capacity in the design of data management systems.
• Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications.

Qualifications:

• Associates degree and 10+ years of experience; OR Bachelor’s degree and 8+ years of experience; OR Master’s Degree and 6+ years of experience; OR 3 years with PhD. A degree from an ABET or NCAE accredited institution in one of the following fields is highly desired: Information Technology, Computer Science, Data Science, Information Systems, or Cybersecurity. However, four (4) additional years of additional relevant experience may be considered in lieu of a Bachelor’s degree.
• Active Secret clearance.
• Desired Certifications: CCISO, CISM, CISSP, or GSLC.
• Knowledge of programming language structures and logic.
• Skill in conducting queries and developing algorithms to analyze data structures.
• Skill in creating and utilizing mathematical or statistical models.
• Ability to interpret and incorporate data from multiple tool sources.
• Ability to use and understand complex mathematical concepts (e.g., discrete math).
• Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
• Ability to build complex data structures and high-level programming languages.
• Ability to collect, verify, and validate test data.
• Ability to dissect a problem and examine the interrelationships between data that may appear unrelated.
• Skill in assessing the predictive power and subsequent generalizability of a model.
• Skill in identifying hidden patterns or relationships.
• Skill in Regression Analysis (e.g., Hierarchical Stepwise, Generalized Linear Model, Ordinary Least Squares, Tree-Based Methods, Logistic).
• Skill in using outlier identification and removal techniques.
• Skill in writing scripts using R, Python, PIG, HIVE, SQL, etc.
• Knowledge of how to collect, store, and monitor data.
• Skill in labeling data to make it more discoverable and understandable.
• Knowledge of statistical/machine learning algorithms.
• Knowledge of mathematics, including logarithms, trigonometry, linear algebra, calculus, statistics, and operational analysis.
• Knowledge of data administration and data standardization policies and standards.
• Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).
• Knowledge of the characteristics of physical and virtual data storage media.
• Skill in developing data models.
• Knowledge of data operations (DataOps) processes and best practices.

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.