Data Scientist

Use statistical and machine learning analytics to support the District of Columbia Office of the Attorney General’s criminal and juvenile justice work.

Responsibilities

• Develop computational algorithms and statistical methods to uncover patterns and relationships across multiple database sources.
• Write scripts, queries, and software code to meet specific requirements and deliver tasks.
• Design, build, and test data models, algorithms, and predictive models.
• Apply predictive modeling and machine learning techniques to improve program and operational processes and strengthen overall data quality.
• Manipulate, manage, query, analyze, and summarize data from open-source, law enforcement, District, and OAG sources to produce cohesive reports for strategic initiatives, program evaluations, and investigations.
• Partner with internal teams to evaluate the effectiveness of juvenile and criminal justice initiatives within OAG.
• Work with internal and external partners to expand accessible prosecution data platforms.
• Contribute to interagency data initiatives, including efforts sponsored by the Office of the Chief Technology Officer and the Criminal Justice Coordinating Council.
• Provide consultation on statistical and research matters relevant to OAG’s mission.
• Compile and analyze datasets from multiple sources to generate data-driven insights and process or operational recommendations for OAG and stakeholders.
• Create correlations, models, algorithms, forecasts, and visualizations using generally accepted statistical methods across OAG and external data.
• Use computational and machine learning methods on new or large-scale datasets to identify insights with tools such as spreadsheets, databases, programming languages, and statistical or visualization software.
• Initiate and respond to requests for specialized or customized reports, including complex, multi-source queries and innovative analysis approaches.
• Use coding and analytics tools including Python or R and SQL to analyze datasets.
• Create reports and presentations using visualization tools such as Microsoft Power BI, Tableau, Microsoft Excel, and related software; communicate results to non-technical audiences.
• Deliver scientific, statistical, and technical consultation on applicable best practices and new techniques.
• Research and develop complex statistical analysis and modeling, including trends and projections, and produce reports and presentations.
• Train staff on clean data collection, entry, and storage.
• Write and contribute to white papers and other public-facing reports.
• Support collaborative work with external stakeholders, research organizations, and academic institutions when appropriate.
• Participate in relevant academic and professional conferences.
• Perform other related duties as assigned.

Requirements

• Bachelor’s degree in statistics, economics, data analytics, computer science, public policy, mathematics, or a related field, plus demonstrated experience in data analysis, statistical methods, and data visualization.
• Expertise with statistical analytical tools including Tableau and Power BI.
• Proficiency with programming languages and tools including R, Python, data visualization and software tools, mapping tools, and 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 inception and design through full implementation.
• Willingness to address data collection and management challenges while moving the agency toward best practices.
• Curiosity and interest in public policy and public interest work, particularly in criminal justice.
• Excellent communication skills, including with people without an analytics background.
• Comfort working in a fast-paced, deadline-oriented environment.
• Interest in designing and launching new initiatives.
• Experience working with lawyers, law offices, and/or in District of Columbia public policy is a plus.
• Combination of education and experience: courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience.

Technologies

• Python, R, SQL
• Microsoft Power BI, Tableau
• Microsoft Excel, spreadsheets
• Databases, data visualization tools, mapping tools

Working Conditions / Environment

• Office environment

Tour of Duty

• Monday to Friday; 8:45 am to 5:15 pm

Appointment / Employment Details

• Career Service (CS) Regular
• Promotion potential: No known promotion potential
• Plan, series, grade: CS-1560-13
• Collective Bargaining Unit: Non-union
• Position is not covered under a collecting bargaining agreement

Compensation

• Annual salary range: USD 93,069 - 119,916
• Annual salary negotiable up to $110,967, based on qualifications and availability of funds

Position Designation

• Security-Sensitive
• Pre-employment checks may include criminal background checks, consumer credit check, traffic record checks, and drug screenings (if applicable)
• Subject to periodic criminal background checks during tenure

Residency Preference

• Applicants claiming “Residency Preference” must maintain District of Columbia residency for at least seven (7) years
• Failure to meet the residency requirement may result in forfeiture of employment

Location: Washington, DC (onsite)