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Cintel, Inc in the National Capital Region is seeking a Senior Data Scientist to advance complex scientific and technical programs through data science, statistics, modeling, and computational methods, with a focus on problem-solving and experimentation rather than traditional BI.
You will develop and validate models, analyze datasets, and mentor junior team members while collaborating with scientists, engineers, and analysts.
Position Title: Data Scientist (Senior)
Location: National Capital Region
Position Type: Full-Time
We are seeking a Data Scientist (Senior) to support complex scientific and technical efforts through the application of data science, statistics, modeling, and computational methods. This position will emphasize scientific problem-solving, research, modeling, and experimentation rather than traditional data visualization and business analytics.
CintelInc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support.
We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs.
It is the policy ofCintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.