Data Scientist; Advanced Analytic Method Augmentation - Clearan Security Clearance

Position: Data Scientist (Advanced Analytic Method Augmentation) - Clearan with Security Clearance
Cydecor is a premier Federal Government solutions provider, delivering differentiated innovations in mission systems and business platforms. We leverage leading-edge secure systems and software development, backed by industry-leading subject matter expertise, and business intelligence to enable decision-support and remain ahead of ever-evolving national security challenges. Our success rests squarely on three bedrock principles:
People, our center of gravity;
Mission, what inspires us; and an unyielding commitment to Excellence, what separates us.

Job Description:

We are seeking a Data Scientist - Object Based Intelligence (OBI) Advanced Analytic Method Augmentation to support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). Work locations vary throughout the National Capital Region (NCR), with Reston, VA and Washington, DC being primary locations.

Responsibilities include:

* Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
* Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
* Creates various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
* Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
* Uses data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
* Leverages knowledge of large data multi-INT analytics, ML, and automated predictive analytics.
* Designs, develops, and evaluates leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into all-source analysis tradecraft, assessments, production, and dissemination.
* Proposes advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives, assists in model formulation or experimental test design, and shares jointly in team responsibility for development of advanced analytic techniques and assessments.
* Evaluates data science, artificial intelligence, and other advanced analytic methods for risks, biases, and limitations that would distort conclusions.
* Conducts continuous independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art, keeps senior leadership apprised of the advances and applicability to programs.
* Utilizes in-depth knowledge of relevant theories, techniques, procedures and processes to investigate, prototype, and evaluate technologies to improve all-source intelligence analysis.
* Provides technical input into and participates in the development of software and computer graphics systems.
* Performs research studies to understand the process of augmenting or automating all source analytic processes using various computer models.
* Provides incremental enhancements to tools, capabilities, processes, and methods.
* Possesses in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
* Writes either R or Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
* Leverages skills in large data, spatial data, multi-INT analytics, ML, and automated predictive analytics.
* Works with ambiguous…