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Harlem Children's Zone

Assistant Director of Data Science, Evaluation

NY, United States
New York, NY, United States

$95,000 to $105,000 USD / year

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Job details

Pay: $95,000 to $105,000 USD / year
Experience: 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.
Posting language: English
Posted: Oct 29, 2026

Original job description

Harlem Children’s Zone (HCZ) - a world-renowned education and poverty-fighting organization based in New York - seeks an enthusiastic, dedicated, and mission-aligned Assistant Director of Program Evaluation with our Research & Evaluation Department. The Assistant Director, Data Science will join our Research & Evaluation team that supports the implementation and maintenance of evaluation systems that promote efficient program information collection and data dissemination within the organization and with our external partners. Working closely with the Director and the Managing Director of Research and Evaluation, the Assistant Director of Data Science is a key member of the department’s management team. Critically, the AD will help lead HCZ’s data science function, driving the development and implementation of advanced analytics, predictive modeling, and data infrastructure to inform decision-making and maximize organizational impact. For more information, check out Want to Work at Harlem Children’s Zone? Here’s 7 Things You Need to Know.

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, with strong experience in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Proven ability to design, test, and deploy production-level machine learning models and analytical tools.
Experience with cloud platforms (AWS, Azure, or Snowflake) and modern data infrastructure (data lakes, data warehouses).

Who you are

Experience with the Salesforce platform, including Salesforce Analytics Cloud, Einstein Analytics, or custom data integrations and reporting solutions.
Strong understanding of data governance, privacy, and ethics in 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; experience working with youth- or community-focused organizations is a plus.

What you’ll do Leadership & Team Development

Mentor and provide technical guidance to data science analysts, associates, and administrators contributing to a culture of collaboration, technical excellence, and continuous learning.
Participate in recruitment processes and support professional development initiatives for team members.

Advanced Analytics & Modeling

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 drive actionable insights.

Data Infrastructure & Governance

Work closely with IT teams to support scalable, secure, and high-quality data pipelines and platforms.
Implement data governance practices to ensure compliance, accuracy, and responsible data use.
Oversee Salesforce data integration, ensuring seamless data flow between Salesforce systems and analytics platforms for comprehensive organizational insights.

Cross-Departmental Collaboration

Collaborate with program evaluation, policy, and operations teams to co-design solutions that integrate data science outputs into decision-making.
Facilitate data literacy and training sessions to empower staff to leverage insights effectively.
Work with program teams to optimize Salesforce data collection and reporting workflows, ensuring data quality and consistency across all touchpoints.

Innovation & Strategy

Research and recommend opportunities to incorporate cutting-edge techniques (e.g., AI/ML, 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’s priorities.

Communication & Reporting

Support the development of dashboards, visualizations, and executive reports that make complex analyses understandable to non-technical audiences.
Support presentations to senior leadership, funders, and external stakeholders alongside the Director.
Create and maintain Salesforce dashboards and reports that provide real-time insights into program performance, participant outcomes, and organizational metrics.

Schedule

Monday through Friday (9 am - 5 pm)
Hybrid Model (3 days in the office, 2 days remote)

As a member of the Harlem Children's Zone team, you will join a supportive and inclusive community dedicated to helping children, families, and our staff thrive. We offer highly competitive salaries, a comprehensive benefits package, and opportunities for growth.

Our exceptional full-time benefits include:

Highly competitive base salaries
Paid time off
Employee referral bonus
Career advancement
No-cost health insurance
Life Insurance
Short-and long-term disability
Additional voluntary benefits
Wellness discounts
Commuter benefits
Financial wellness perks
Additional Benefits (Discounts on flights, hotels, theme parks, concert tickets, and more.)

The salary range for this position is $95,000-$105,000 per year. To be considered, interested applicants should apply directly through the posting. No telephone inquiries or recruiters, please. Replies will only be sent to qualified applicants. Harlem Children’s Zone is an EOE.

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More about this job

Skills

Decision making
Statistics
Leadership
Python
R
SQL
Machine learning
Scikit-learn
TensorFlow
PyTorch
AWS
Microsoft Azure
Snowflake
Salesforce
Google Analytics
Reporting
Communication skills
Stakeholder management
Team building
Collaboration
Recruitment
Regulatory compliance
Research
ML
Natural language processing
Presentation skills
Hybrid model

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