Data Scientist

Knight Federal Solutions is a trusted provider to industry leading prime contractors, the Department of Defense and the Intelligence Community. We have established a company culture that supports our employees, their families and the communities in which they live and work. When you join our team you belong to a group of people that work hard, strive for greatness and care about people.

Our hard work is evident in everything we do. Whether it be supporting large government programs in the areas of Simulation and Training, Information Technology, Intelligence or Engineering we always strive to be the best. It is for this reason that we have been recognized as a World Class Team Supplier by Northrop Grumman and were also named one of Florida’s fastest growing companies by Inc.

Magazine.

As Knight Federal Solutions continues to grow, we look forward to hiring the best and the brightest to join us in our success!

Summary 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. Duties typically include: creating various ML-based toolsor processes, such as recommendation engines or automated lead scoring systems.

Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

Job Duties Strong proficiency in programming languages commonly used in data science such as Python, R, and SQL Extensive experience with machine learning frameworks (e.g., scikit-learn, Tensor Flow, PyTorch) and advanced statistics

Proven ability to work with large-scale data sets and familiarity with data querying tools

Solid understanding of data warehousing and ETL processes

Experience with AWS cloud computing platforms

Proficient in data visualization and business intelligence tools (e.g., Tableau, Power BI)
Strong problem-solving skills with the ability to analyze and interpret complex data Excellent verbal and written communication skills, including experience presenting to leadership and stakeholders

Requirements

Demonstrates comprehensive mission knowledge and skills that affirm completion of all developmental training and experiences for the labor category

Demonstrates ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and/or technically advanced

Demonstrates ability to structure analysis based on trends in reporting and a range of analytic perspectives from other analysts, organizations, and intelligence disciplines

Demonstrates ability to work independently with minimal oversight and direction

Demonstrates ability to collaborate and work with other IC members on information sharing, driving collection, and addressing analytic disputes and conflict resolution

Demonstrates ability to develop concise, insightful, and comprehensive products for defense intelligence

Demonstrates ability to recognize nuances and resolve contradictions and inconsistencies in information

Demonstrates working knowledge using complex analytic methodologies, such as structured analytic techniques or alternative approaches, to examine biases, assumptions, and theories to eliminate uncertainty, strengthen analytic arguments, and mitigate surprises

Structured analytic techniques include, but are not limited to, Analysis of Competing Hypotheses, Devil’s Advocacy, High-Impact / Low-Impact Analysis, Red Team Analysis and Alternative Futures Analysis…