Data Scientist

Located in the nation’s capital, the Office of the Attorney General (OAG) is the chief legal office of the District of Columbia. OAG enforces the laws of the District, defends, and provides legal advice to the District’s government agencies and protects the interests of the District’s residents. This position is located within the Immediate Office., The Immediate Office sets the direction for the Office of the Attorney General (OAG). It is responsible for establishing the policy priorities that the organization pursues and ensuring that the OAG consistently provides high-quality legal services to the District agencies the OAG supports., The Data Scientist will be responsible for developing computational algorithms and statistical methods to find patterns and relationships in multiple database sources. The incumbent will develop scripts, queries, or software code to accomplish specific requirements or tasks. They will design, build, and test data models, algorithms, and predictive models. The incumbent will identify and utilize predictive modeling and machine learning techniques to improve program and operational processes and agency’s overall data quality. The incumbent will manipulate, manage queries, analyze, and summarize data from open-source, law enforcement, District, and OAG data sources into cohesive reports supporting strategic initiatives, program evaluations, and investigations.

Additionally, the incumbent will be required to:

• Collaborate with internal partners to evaluate the effectiveness of juvenile and criminal justice initiatives within OAG.
• Collaborate with internal and external partners to expand accessible prosecution data platforms.
• Contribute to interagency data efforts, including those sponsored by the Office of the Chief Technology Officer and the Criminal Justice Coordinating Council.
• Consult on statistical and research matters relevant to OAG’s work.
• Compile and perform analyses on a variety of datasets from various sources to provide informed and data-driven insights leading to process and operational recommendations for OAG and its stakeholders.
• Develop correlations, models, algorithms, forecasts, and visualizations based on generally accepted statistical methods using data from both OAG systems and external sources.
• Apply computational and machine learning methods to new or big data sets to identify new insights using analytical tools, including spreadsheets, databases, programming languages, and/or statistical or visualization software.
• Initiate and respond to requests for specialized and/or customized reports, including complex queries involving multiple data sources and analyzing data in creative and innovative ways.
• Use coding skills and knowledge with languages such as python or R and uses SQL and other data processing and analytics tools and software to analyze data sets and uses data visualization tools such as Microsoft Power BI, Tableau, Microsoft Excel, and others to generate reports and develop compelling stories that convey statistical or technical information to non-technical audiences.
• Provide scientific, statistical, and technical consultation about the best applicable practices and new techniques. Researches and develops complex and detailed statistical analysis and modeling on a variety of data, including trends, projections, and supporting information, using analytical software and products; produces effective reports and presentations.
• Train staff on clean data collection, entry, and storage.
• Write or contribute to white papers and other reports for public consumption.
• Assist with collaborative projects involving external stakeholders, research organizations, and academic institutions when appropriate.
• Participate in relevant academic and professional conferences; and
• Performs other related duties as assigned.

At a minimum, candidates must possess a bachelor’s degree in statistics, economics, data analytics, computer science, public policy, mathematics, or a related field and demonstrated experience in data analysis, statistical methods, and data visualization. Advanced degrees are preferred but not required., * Expertise with common statistical analytical tools such as Tableau and Power BI.

• Skill with common programming languages, data visualization software and mapping tools such as R and Python and in database languages such as SQL.
• Experience evaluating program effectiveness and using data for continuous program learning.
• Experience working with data scientists and technical staff to create and support business intelligence or other technology programs.
• Significant project management experience, from the inception and design phase through to full implementation.
• Willingness to tackle data collection and management challenges with an eye toward moving the agency to best practices
• Curiosity and interest in public policy and public interest work, particularly in the criminal justice realm.
• Excellent communication skills, including with people who do not have an analytics background.
• Comfort working in a fast-paced, deadline-oriented environment.
• A desire to design and launch new initiatives.
• Experience working with lawyers, law offices, and/or in District of Columbia public policy is a plus.

OR

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph above, plus additional education or appropriate experience.

Salary: The annual salary is negotiable up to $110,967 and will be based on applicants’ qualifications and availability of funds for this position.