Data Scientist

PotomacWave•Washington, DC

7d•$125,000 - $155,000

About The Position

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role will lead the development and implementation of advanced data science algorithms, machine learning models, and sophisticated data visualizations to solve complex analytic challenges for the mission, with a particular focus on improving data comprehension and driving data-driven decision-making processes.

Requirements

A bachelor’s degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master’s degree is preferred.
A professional certification in data science is required.
A minimum of four (4) years of experience in a data science related field.
The selection of an individual for this position may be conditioned upon their successful completion of a counterintelligence-scope polygraph examination.
Must have an active DOE Q or TS clearance.

Responsibilities

Lead efforts to process large structured and unstructured datasets, developing and operationalizing data models, advanced analytic tools, and applications that optimize decision-making and enhance analytic throughput.
Design and implement advanced data collection, mining, clustering analysis, pattern recognition, and trends analysis techniques to develop actionable intelligence and inform strategic decisions.
Collaborate closely with analysts to build robust prototypes, prove complex concepts, and facilitate the widespread adoption of cutting-edge data science technologies and methodologies within the office.
Champion enterprise innovation, significantly increasing data awareness, and demonstrate the transformative value of advanced analytics and data visualization.
Stay abreast of bleeding-edge technology standards, industry trends, emerging technologies, and software development best practices, incorporating them into actionable strategies.
Architect and leverage advanced technologies including Python, R, AWS, Java, SQL, Tableau, D3JS, and Spark to analyze high volumes of data, reveal hidden patterns, and create compelling data narratives.
Lead the design and build of complex algorithms and machine learning models throughout the entire development lifecycle, ensuring scalability and operational effectiveness.
Evaluate and recommend advanced training opportunities, fostering a culture of continuous learning and skill development within the team.
Develop and codify structured processes for data-driven decision-making, leading initiatives to improve readership, feedback mechanisms, and overall analytic throughput.
Significantly contributes to the data science community by advocating for strategic data-driven quality projects and advanced process improvements.
Partner with cross-functional teams to meticulously document complex requirements, strategically leverage existing capabilities, and deliver high-impact products to customers.
Combine rigorous scientific method, advanced mathematics, statistics, specialized programming, and compelling storytelling to uncover deeply actionable insights and communicate them effectively.
Review mission needs, leading the evaluation of policy and program effectiveness through a data-centric lens.
Lead participation in enterprise-wide data science projects involving highly innovative approaches where precedents may not exist, setting new standards for the organization.