Job description
Hybrid | Pentagon | 2-3 Days a week Onsite
Summary
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
- Develop, validate, and implement data models and algorithms to meet business needs
- Collaborate with the data engineering team to design and maintain scalable data models and pipelines
- Conduct detailed analyses of our data and systems to generate insights and inform business decisions
- Drive the collection of new data and the refinement of existing data sources
- Collaborate with cross-functional teams to define business requirements and deliver appropriate solutions
- Present complex data in a clear, concise manner to various stakeholders, including non-technical audiences
- Stay up-to-date on new research and technologies in the field of data science and machine learning, and educate the team on these developments
- Strong knowledge of Python and familiarity with data processing tools like SQL, Hadoop, and Spark
- Deep understanding of machine learning algorithms, data structures, and performance optimization techniques
- Excellent problem-solving skills and the ability to think critically and creatively
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
- Proven ability to work effectively in a dynamic, fast-paced environment
- A Bachelors or Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field is preferred.
- None.
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; an active TS/SCI clearance is required.