Assistant Director of Data Science, Evaluation

Harlem Childrens Zone•New York, NY

5d•Hybrid

About The Position

Harlem Children’s Zone (HCZ), a New York-based education and poverty-fighting organization, is seeking a mission-aligned Assistant Director of Data Science for its Research & Evaluation Department. The role supports evaluation systems for collecting program information and sharing data within HCZ and with external partners. As a member of the department’s management team, the Assistant Director works closely with the Director and Managing Director of Research and Evaluation and helps lead HCZ’s data science function, including advanced analytics, predictive modeling, and data infrastructure to inform decisions and maximize organizational impact. The Assistant Director provides technical guidance and mentorship to data science staff; designs and deploys machine-learning models, predictive analytics, and statistical analyses; supports secure and scalable data systems and governance; and oversees Salesforce integrations, workflows, dashboards, and reporting. The role collaborates with program evaluation, policy, operations, IT, and program teams to incorporate data science into decision-making, improve data quality, and build staff data literacy. It also researches emerging methods such as AI/ML and natural language processing, contributes to the department’s strategic roadmap, and helps communicate analytical findings to leadership, funders, and external stakeholders. The position follows a hybrid schedule, with three days in the office and two remote, Monday through Friday, 9 a.m. to 5 p.m. The salary range is $95,000–$105,000 per year.

Requirements

At least 3 years of experience in data science, advanced analytics, or applied statistics, including at least 1–2 years in a leadership, supervisory, or senior individual-contributor role.
Expertise in Python, R, or SQL.
Strong experience with machine-learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Proven ability to design, test, and deploy production-level machine-learning models and analytical tools.
Experience with cloud platforms such as AWS, Azure, or Snowflake and modern data infrastructure such as data lakes and data warehouses.
Strong understanding of data governance, privacy, and ethics when working with sensitive data.
Ability to translate complex data insights into actionable recommendations for non-technical stakeholders.
Excellent communication, presentation, and stakeholder-management skills.
Passion for social impact, education, and HCZ’s mission.

Nice To Haves

Experience with Salesforce, including Salesforce Analytics Cloud, Einstein Analytics, or custom data integrations and reporting solutions.
Experience working with youth- or community-focused organizations.

Responsibilities

Mentor and provide technical guidance to data science analysts, associates, and administrators, supporting collaboration, technical excellence, and continuous learning.
Participate in recruitment and support team members’ professional development.
Design and implement machine-learning models, predictive analytics, and statistical analyses under the direction of the Director of Data Science.
Execute complex data science projects and ensure models are interpretable, ethically sound, and produce actionable insights.
Work with IT teams to support scalable, secure, high-quality data pipelines and platforms.
Implement data governance practices that support compliance, accuracy, and responsible data use.
Oversee Salesforce data integration and ensure data flows between Salesforce systems and analytics platforms.
Collaborate with program evaluation, policy, and operations teams to integrate data science outputs into decision-making.
Facilitate data literacy and training sessions for staff.
Work with program teams to improve Salesforce data collection and reporting workflows and ensure data quality and consistency.
Research and recommend emerging techniques, including AI/ML and natural language processing, to improve program design and organizational strategy.
Support the Director of Data Science in shaping the department’s strategic roadmap and aligning projects with HCZ priorities.
Support the development of dashboards, visualizations, and executive reports that explain analyses to non-technical audiences.
Support presentations to senior leadership, funders, and external stakeholders alongside the Director.
Create and maintain Salesforce dashboards and reports on program performance, participant outcomes, and organizational metrics.