Data Scientist

Office of the Attorney General; Washington (District of Columbia); On-site; USD 93,000 - 120,000; Full time

Job summary

Office of the Attorney General in Washington, DC seeks a data analytics professional to apply statistical and machine learning methods to criminal and juvenile justice work. You will develop algorithms, build predictive models, and create cohesive reports from diverse data sources for strategic initiatives and investigations.

You will collaborate with internal teams to assess program effectiveness, expand data platforms, and deliver data-driven insights through dashboards and presentations using

Qualifications

• Bachelor’s degree in statistics, economics, data analytics, computer science, public policy, mathematics, or a related field.
• Experience with statistical analysis tools and data visualization.
• Proficiency in R, Python, SQL, and BI tools (Tableau/Power BI).
• Experience evaluating program effectiveness and using data for continuous learning.
• Strong communication skills and ability to work with non-technical audiences.

Responsibilities

• Develop computational methods to uncover patterns across multiple data sources.
• Write scripts and queries to meet project requirements.
• Design and test data models, algorithms, and predictive models.
• Apply ML techniques to improve processes and data quality.
• Analyze data from various sources to generate reports for strategic initiatives and investigations.
• Collaborate with teams to evaluate juvenile and criminal justice initiatives.
• Create correlations, models, forecasts, and visualizations using statistical methods.
• Use Python, R, and SQL to analyze datasets and produce reports.
• Create dashboards and presentations using Power BI, Tableau, and Excel.
• Train staff on data collection practices and contribute to public-facing reports.

Skills

Statistical analysis

Data visualization

Communication skills

Project management

Curiosity / public policy interest

Education

Bachelor’s degree in statistics

Tools

Python

R

SQL

Tableau

Power BI

Excel

Job description

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)