Job Location : New York,NY, USA
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Job Summary:
The Metropolitan Transportation Authority (MTA) is seeking a Manager of Data Science for the Long Island Rail Road (LIRR) to support the Director of Enterprise Asset Management. This role involves leading data-driven initiatives, managing data governance efforts, and applying advanced data science techniques to enhance asset decision-making and operational reporting.
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.
• 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.
• 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.
Qualifications:
Required:
• 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:
• 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
Company:
Metropolitan Transportation Authority provides subway, bus, and commuter railroad transportation services to customers with disabilities. Founded in 1834, the company is headquartered in New York, New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
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Inferred from the description for this jobMedical insurance
Vision insurance
401(k)
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