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Job Description FOR OTI EMPLOYEES ONLY The Office of Technology and Innovation (OTI) leverages technology to drive opportunity, improve public safety, and help government run better across New York City. From delivering affordable broadband to protecting against cybersecurity threats and building digital government services, OTI is at the forefront of how the City delivers for New Yorkers in the 21st century. Watch our welcome video to see our work in action, follow us on social media @NYCOfficeofTech, and visit to learn more. At OTI, we offer great benefits, and the chance to work on projects that have a meaningful impact on millions of people. You'll have the opportunity to work with cutting-edge technology and collaborate with other passionate professionals who share your drive and commitment to making a difference through technology. Job Description: ODA seeks a Director of Data Science to provide hands-on analytics project direction and oversee a team of data scientists. The Director of Data Science will work closely alongside the City's Chief Analytics Officer (CAO) to implement the office's data analytics strategy and to develop processes for effective and sustainable analytics project staffing, analysis, and reporting. In addition, the selected candidate will engage regularly with Mayor's Offices, City agencies including technology and analytics principals, New York City's data science community, and other internal or external audiences, as well as occasionally with City leadership and City Council. Responsibilities will include: - Provide supervision for ODA's analytics team, completing or reviewing data analysis as needed; and work with the CAO and team leads to review and assess analytics project opportunities, and prioritize new and existing analytics projects in alignment with ODA's mission. The Director of Data Science will be responsible for fostering team growth and development, in collaboration with the CAO; - In partnership with City agencies and ODA analytics staff, establish and review scope, timelines, reporting cadence, impact and quality measures, and technical documentation for ODA analytics projects; - Provide quality assurance on analytics deliverables and analysis workflows. Depending on the project and the client, ODA's data scientists organize and analyze data in SQL, R, and Python, and use GitHub for version control; - Lead the development of best practices for municipal