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 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. 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, TensorFlow, 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