Cyntel Technologies, LLC
Data Scientist (Scientific Support) – Reston, VA
Cyntel Technologies, LLC, Reston, Virginia, United States, 22090
Cyntel Technologies is currently seeking a Data Scientist (Scientific Support) – MID to support a program in Reston, VA.
Clearance Required:
TS/SCI clearance and willingness to sit for CI Poly if do not already possess a current CI Poly Duties and Responsibilities: Data Scientist: 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. Mid-level candidates must have a minimum of 3 years of experience and a bachelor’s degree or 7 total years of experience in lieu of a degree. Why Cyntel Technologies? Cyntel Technologies offers a competitive benefit package to include: Paid Holidays Paid time off (PTO) Military Leave Medical Plan Vision 401K Life Insurance Our management focus and culture are based on “One Team, One Fight” and resonates throughout our entire staff every day. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
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TS/SCI clearance and willingness to sit for CI Poly if do not already possess a current CI Poly Duties and Responsibilities: Data Scientist: 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. Mid-level candidates must have a minimum of 3 years of experience and a bachelor’s degree or 7 total years of experience in lieu of a degree. Why Cyntel Technologies? Cyntel Technologies offers a competitive benefit package to include: Paid Holidays Paid time off (PTO) Military Leave Medical Plan Vision 401K Life Insurance Our management focus and culture are based on “One Team, One Fight” and resonates throughout our entire staff every day. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
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