The Queens District Attorney's Office (QDA) is seeking a highly qualified and motivated Data Scientist to help build, implement, and sustain the QDA Data Reporting & Analytics Unit in a mission-oriented organization that serves over 2 million community members of Queens County.  The purpose of the Data Reporting & Analytics Unit is to promote transparency and accountability through data-driven policy making and strategic planning, and to leverage data to inform policy, best practices, resource allocation decisions, and community engagement initiatives.    

The Data Scientist’s responsibilities include, but are not limited to, the following:

• Perform data analyses proactively and/or in response to frequent and time sensitive strategic, operational, and investigative/intelligence related data requests in order to inform Office policies, best practices, resource allocation decisions, and community engagement initiatives;

• Initiate, perform, and/or respond to data requests by querying and analyzing multiple internal and external data sources, and validating data queries and reports through automated and manual sources;

• Design, implement, and document tools and analyses using a range of data science research methods to create accurate, reproducible, and automated data queries;

• Develop meaningful, accurate, and concise indicators, data reports, and internal and external data dashboards that are tailored to strategic, operational, and investigative/intelligence data reporting for ongoing insights, analyses, and performance measurement;

• Work alongside and collaboratively with internal staff and external vendor(s) to expand data available through ETL processes for reporting, analytics, and visualization;

• Design and deliver data-driven presentations, documents, and other messaging to translate findings to a wide range of internal and external audiences;

• Exploratory identification of opportunities for further data development and integration.

Preferred Education and Qualification Requirements:

1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory fulltime experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or

3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
4.   Education and/or experience which is equivalent to "1", "2" or "3" above.

The successful candidate must have a strong desire and ability to thrive in a fast-paced environment, while possessing versatility within a broad range of data-related knowledge and skills, including reporting and analytics, visualization, engineering, and criminal justice research and practice. In addition, the preferred candidate should possess the following:

• Proven ability in, and hands-on experience with, all phases of ETL development, implementation and maintenance;

• Excellent analytics skills associated with working on unstructured datasets;

• Demonstrated understanding and experience using data warehouse software and tools such as Azure, AWS, and Snowflake, as well as big data tools, relational NoSQL and SQL databases, and workflow management and pipeline tools;

• Expertise in statistical/stimulation/optimization programming languages and packages such as Java, Python, SQL, C++, and C#;

• Proven ability in statistical analyses and data mining with technical expertise;

• Experience in identifying and leveraging multiple internal and external data sets to validate data queries and reports and explore policy questions;

• Experience in reporting and visualizing data and research of varying degrees of complexity; Hands-on experience with Power BI, SSRS, and Crystal Reports;

• Proven ability and expertise in developing and maintaining data dictionaries, documenting data queries, and developing relational databases and data warehousing architecture; proficiency with SQL queries and analyses;

• Knowledge of prosecutor’s offices’ case management systems, as well as law enforcement and court databases;

• Excellent written and verbal communication skills, with the ability to present data and research;

• Prior work in criminal justice with an understanding of the criminal justice system in New York State and New York City and familiarity with legal terminology and court procedures;

• Ability to work with staff at different levels within the organization, both independently and with a team, balance competing priorities, and thrive in complex situations with tight deadlines;

• Strong project management skills; good judgment, strong ethics, and ability to maintain confidentiality of information.

APPLICATION INFORMATION:

Salary Range: $120,000 - $140,000 (commensurate with experience)

Comprehensive benefits package including health insurance, 401K and more.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

To apply, please submit a resume and cover letter, by clicking on the link below: