Data Scientist

DataJobs; New York (NY); On-site; USD 88,000 - 110,000; Full time

Job summary

DataJobs in New York City’s Bike Share & Shared Mobility unit seeks a Data Scientist to support Citi Bike and other shared mobility services. You will analyze data, build dashboards, and translate insights to inform decisions through 2029.

You will develop predictive models, produce briefing materials, monitor data quality, and collaborate with Operations, Planning, and Policy. Proficiency with Power BI, Python, R, SQL, and Tableau is preferred, with NYC residency within 90 days.

Qualifications

• Master’s degree in an appropriate field (physical, biological, environmental science or public health).
• Doctorate with specialization or master’s + 3 years of research experience; or equivalent education/experience.
• At least a master’s degree with two years of relevant experience.

Responsibilities

• Conduct research and analysis to inform bike share planning.
• Build predictive models and simulate pricing impacts on ridership and revenue.
• Produce reports and briefing materials from databases for bike share systems.
• Monitor vendor compliance with regulations, DOT policies, and contracts.
• Develop and maintain dashboards with Power BI and translate results into actionable insights.
• Collaborate with leadership across Operations, Planning and Policy to align analytics with priorities.

Education

Master’s degree

Doctorate

Two years City Research Scientist Level I substitution

Tools

Power BI

Python

R

SQL

Tableau

Job description

As part of the NYC Department of Transportation’s Bike Share & Shared Mobility unit, this Data Scientist role supports planning and oversight of Citi Bike and other shared micro-mobility services. You will conduct analytics and research, create dashboards, and translate data into insights that help shape program decisions, including future reimagination work through 2029.

What you’ll do

• Conduct research and analysis to inform current and future bike share and shared mobility planning
• Build predictive models to address complex program questions and anticipate future needs and behavior, including simulations of pricing impacts on ridership and system revenue
• Produce reports and briefing materials derived from the databases that support the bike share and shared mobility systems
• Monitor vendor compliance with governmental regulations, DOT policies, and contract terms
• Handle ad hoc data requests accurately and quickly for internal and external stakeholders
• Develop and maintain dashboards to deliver insights to internal teams, including work using Power BI
• Translate data into clear narratives for senior staff, managers, and staff by emphasizing both what the results show and why they matter
• Research and evaluate best practices for bike share technology, hardware, and data infrastructure to support leadership in defining technical specifications for the future of bike share in NYC
• Collaborate with leadership and teams across Operations, Planning, and Policy to align analytics and research with organizational priorities
• Provide evidence-based recommendations for system planning, management of existing service areas, and future policy decisions
• Serve as a trusted advisor by building strong working relationships across internal stakeholders
• Monitor data quality, identify issues, and maintain data integrity
• Document data management procedures, including data dictionaries and business rules
• Plan, design, maintain, and support unit internal databases

Required qualifications

• Master’s degree from an accredited college or university (Assignment Level I: in an appropriate field of physical, biological, or environmental science or public health)
• For Assignment Level II and above: either a doctorate with specialization in an appropriate field, plus one year of full-time experience in a responsible supervisory, administrative, or research capacity, or a master’s degree plus three years of responsible full-time research experience in the appropriate field
• Education and/or experience equivalent to the stated criteria is acceptable, with the requirement that candidates have at least a master’s degree in an appropriate field and at least two years of the experience described above
• Two years as a City Research Scientist Level I can substitute for the experience required in the outlined criteria
• Minimum probationary period of one year
• New York City residency is generally required within 90 days of appointment

Technologies

• Power BI
• Python
• R
• SQL
• Tableau

Preferred skills

• Mastery with spreadsheets and at least one coding language (Python, R, or similar) for data manipulation
• Experience querying, cleaning, and maintaining large relational databases using SQL
• Experience with data visualization tools such as Power BI and/or Tableau
• Strong familiarity providing statistical support, including contributions to statistical methodology, study design, and data analysis
• Proficiency with presentation slides and the use of visualization tools, including maps and memos for static and interactive graphics that support fact-based decision making
• Ability to connect complex data trends to broader policy considerations and tailor analysis products to operations and planning needs
• Excellent interpersonal, analytical, research, presentation, written, and oral communication skills
• Flexibility and comfort working as part of a team
• Experience or interest in transportation planning, logistics, bike share, micro mobility, cycling, and working with or in the public sector

Compensation and location

• Location: Manhattan, NY (onsite)
• Salary: USD 87,743 - 110,120 per year
• Minimum experience: 2 years

Public service loan forgiveness

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment free from discrimination and harassment based on any legally protected status or protected characteristic.