"Alerted.org

Job Description

THE SELECTED CANDIDATE WILL BE OFFERED A SALARY OF $21.40 P/HR

The Administration for Children’s Services (ACS) protects and promotes the safety and well-being of children and families through child welfare and juvenile justice services and community supports. ACS manages community-based supports and foster care services and provides subsidized childcare vouchers. ACS child protection staff respond to allegations of child maltreatment. In juvenile justice, ACS oversees detention, placement, and programs for youth in the community.

ACS’ Division of Policy, Planning and Measurement (PPM) collaborates with every ACS division to bring knowledge to practice. PPM guides systems analysis and strategic systems improvement; assures quality of practice at ACS and its provider agencies; professionalizes the frontline workforce; brings knowledge into practice; provides research and analytic support; and plans and develops new programs and policies. PPM is looking for a motivated and detail-oriented Predictive Analytics College Aid to join our team.

As Predictive Analytics Aid, you will support the Predictive Analytics Team within the Office of Research and Analytics, which is in process of building a risk model that will identify cases most in need of investigative consultation. This internship offers an excellent opportunity to work as a member of a team to identify high-risk cases during the early stages of the investigation so that the right cases get referred and receive timely attention for the most concerning factors.

Key Responsibilities:

The model building will require the following iterative steps to be performed:

- Extensive feature engineering to identify the right factors with predictive power

- Use various imputation methods to identify and deal with missing or inconsistent data entry information

- Use different model-building methodologies to identify the right model for the problem statement and nature of data

The project will also include these additional key tasks:

- Perform forecasting and data modeling: Using appropriate methodologies, evaluating data patterns, monitoring key performance metrics, and performing root cause analysis

- Analyze features to evaluate feature importance

- Data visualization using software such as Tableau, R, or Python

- Draft literature reviews: Research best practices about the use of predictive models in child welfare, juvenile justice, and other relevant domains such as other social services and criminal justice. - - Use current research on fairness, accountability, and transparency from the machine-learning community (i.e., FATML) to inform model development and implementation

Learning Outcomes:

- Experience building data sets for exploratory analysis, and evaluating and defining performance metrics

- Gain comprehensive knowledge in building a Predictive Risk Model (PRM) for prioritizing investigative consultation

- Develop skills in building and analyzing dashboards and reports

- Enhance abilities in documenting all analyses and reports pertaining to project accomplishments

ADDITIONAL INFO

Section 424-A of the New York Social Services Law requires an authorized agency to inquire whether a candidate for employment with child-caring responsibilities has been the subject of a child abuse and maltreatment report.

TO APPLY

Please go to www.cityjobs.nyc.gov or www.nyc.gov/ess for current NYC employees and search for Job ID #760041.

No phone calls, faxes or personal inquiries permitted.

Note: Only candidates under consideration will be contacted.

COLLEGE AIDE (ALL CITY DEPTS) - 10209

Qualifications

For Assignment Level I:

Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school.

For Assignment Level II (Information Technology):

Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or closely related field, including or supplemented by 9 semester credits in an acceptable course of study.

For Assignment Level III (Information Technology Fellow):

Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or other area relevant to the information technology project(s) assigned, including or supplemented by 9 semester credits in an acceptable course of study. Appointments to this Assignment Level will be made by the Technology Steering Committee through the Department of Information Technology and Telecommunications.

SPECIAL NOTE

Maximum tenure for all Assignment Levels in the title of College Aide is 6 years. No student shall be employed more than half-time in any week in which classes in which the student is enrolled are in session. Students may be employed full-time during their vacation periods.

Additional Information

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.

Salary Min: $ 17.00

Salary Max: $ 21.40