Senior Data Scientist
Hybrid | Washington D.C. | 3-4 days a week Onsite
Active TS/SCI Clearance Required
Summary
Our client provides leading edge cybersecurity services that improve security, promote innovation, and transform cybersecurity for government and commercial customers. Our client is on the front lines of the cyber landscape, specializing in unique cybersecurity solutions, infrastructure support, and end user support. They also remain committed to their clients’ success and ensure that their initiatives are properly aligned with their core mission.
Our client works closely with their partners and clients to understand their needs and ensure their short and long term targets are met or exceeded. Their expert team works to design and execute progressive, innovative solutions that are helping our clients modernize their infrastructure and stay ahead of the constantly evolving thread landscape.
They also believe in hiring smart people then giving them space to thrive. Staying ahead of the pack requires not just economic vigilance but ambitious business goals and a purposeful, cohesive workforce. Our client is able to attract and retain their professionals by consistently creating an environment based on trust, fairness and opportunity. Additionally, they believe in establishing open communication that encourages achievable performance expectations. With also incorporating collaboration within their organization, it creates a positive energy and true ownership in providing services that are essential to deliver results of the highest quality.
Responsibilities
Our client is looking for a passionate and talented Data Scientist to join their team. The successful candidate will be a key contributor to driving the growth and innovation within our organization through the expert application of data science methodologies and techniques. This role requires a deep understanding of machine learning algorithms, data management, and analysis, as well as the ability to effectively communicate complex findings to a variety of stakeholders.
Requirements
Preferred Requirements
Education Requirements
Clearance Requirements
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