Data Scientist

• 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.

• 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 be a U.S. Citizen and have an active DOE Q or Top-Secret clearance.

Equal Opportunity Employer/Race/Sex/Religion/Disability/Veteran Status/Sexual Orientation/Gender Identity/National Origin/Age.

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