Manager Data Science presso Metropolitan Transportation Authority
Metropolitan Transportation Authority · New York, Stati Uniti d'America · Hybrid
- Professional
- Ufficio in New York
Queens, NY
Description
Job Title: Manager, Data Science | Department: Enterprise Asset Management |
MTA Agency: LIRR | Primary Location(s): Additional Support Locations |
Salary Range/Additional Compensation Details: $99,782-110,643 | Regulated/ Safety Sensitive: Non-safety sensitive. |
Union Affiliation: Non | Closing Date (if applicable): 08/25/2025 |
Shift (if applicable): Any | Other: |
About your agency: Chartered in 1834, the Long Island Rail Road (LIRR) is the largest, busiest, and oldest continuously operating commuter railroad in the United States. In 2024, this 24/7/365 operation served 75.5 million riders on a system that stretches nearly 120 miles – from Penn Station and Grand Central Madison in Manhattan to Montauk on the eastern tip of Long Island. | |
JOB SUMMARY:
Support the Director of Enterprise Asset Management by leading data-driven initiatives focused on implementing asset management applications, developing data pipelines, adn supporting emerging technologies, and advanced analytics. This role ensures the integration of data governance throughout the system lifecycle and applies data science techniques to deliver actionable insights that enhance asset decision-making. The Manager collaborates across departments to build scalable analytical solutions, supports operational reporting and planning, and contributes to departmental functions such as budgeting, procurement, and contract oversight.
This is a Non-Represented Position.
This position is eligible for telework which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.
DUTIES AND RESPONSIBILITIES:
- Lead data governance efforts, ensuring that data quality standards are met, and compliance requirements are maintained across all datasets. Manage the development and maintenance of data pipelines to ensure seamless flow of asset management data across systems. Apply advanced data science techniques (including SQL, Python, R) to analyze large datasets and build predictive models and strategic forecasts. Provide ad hoc emerging technologies and analytical support across various LIRR operational areas, addressing immediate data-related challenges and business needs. Develop data management strategies.
- Collaborate with IT, operational departments, and data/process owners to understand business needs and design analytical models and systems. Support the exploration of new/emerging technologies, including the Transit Tech Lab efforts.
- Ensure comprehensive documentation of all data science processes, methodologies, and findings for internal stakeholders. Develop communication plans.
- Support the department in budgeting, procurement, reporting, and contract management. Support organizational safety initiatives.
- Observing the work performed by the contractor; Reviewing invoices and approving them if the work has contractual standards; Addressing performance issues with the contractor when possible; and Escalating issues to other parties as needed.
- Train, mentor, and provide guidance to junior team members, fostering a culture of learning and technical excellence.
- Other duties as assigned
REQUIRED EDUCATION AND EXPERIENCE:
- Bachelor's degree in Computer Science, Engineering, Information Management, Statistics, Mathematics or Transportation Planning. An additional four years of experience may be considered in lieu of the degree.
- A minimum of 5 years of experience working in a data science or data engineering role or another position with similar programming and data management content.
- A minimum of (5) year of experience building datasets, automating tasks through scripts, writing database queries and debugging/ maintaining code.
- A minimum of (5+ years) experience with Python, R, and SQL programming
- Must possess proficiency in data management
- Must possess understanding of analytical methods (e.g., probability and statistics, algorithm design)
- Must possess familiarity with transit/ transportation systems, particularly the MTA subway, bus and railroad networks
- Must possess exceptional ability to read code and interpret data
- Must possess familiarity with KPI metrics and ability to create algorithms to calculate them
- Must possess strong analytical, organizational, problem-solving skills and sound judgment with proven ability to handle multiple tasks simultaneously.
- Hands-on working knowledge of Microsoft Office applications, i.e., Word, Excel, PowerPoint,
- Must possess strong communication, facilitation, and teamwork skills.
- Must possess the ability to prepare and deliver presentation to senior management, outside agencies and other officials.
PREFERRED QUALIFICATIONS:
- A Master’s Degree in Computer Science, Engineering, Information Management, Statistics, Mathematics or Transportation Planning.
- Experience with Enterprise Asset Management and GIS technologies and related fields.
- Familiarity with data processing and management support tools, including MS Office, advanced excel analysis, BI tools
- Knowledge of railroad industry
- Knowledge of Enterprise Asset Management concepts
- Knowledge of SDE geodatabases, perform geoprocessing and other spatial analyses
BENEFITS:
- Commuting Assistance – based on operating MTA agency (complimentary transportation pass within the MTA’s jurisdiction and tax-advantaged accounts)
