Data Scientist

The NYC Department of Health and Mental Hygiene seeks a Data Scientist to complete analytics projects that inform agency and interagency policies, programs, and operational practices. The role collaborates with project teams and City agencies, supports responsible and open analytics, and coordinates workstreams during Citywide emergencies.

Responsibilities

• Serve as lead or supporting analyst on data analytics projects, in collaboration with project managers, policy analysts, ODA leadership/sponsor, and legal counsel
• Provide project management, research, and knowledge capture support where needed. This includes developing quality and accurate communications and deliverables, which may receive limited review before delivery, and the ability to lead facilitated conversations with City agency clients
• Lead or support the decision-making process for the scoping and design of the analysis under guidance of a projects lead analyst or ODA leadership
• Act as a lead project manager on an analytics project with little coaching required to draft a project timeline and adjust as necessary
• Contribute to development of best practices for municipal responsible and open analytics work; publishing analytics code and projects publicly, when possible, in partnership with City agency partners
• Support ODA as an analytics center for excellence and initiatives that increase City agencies’ data-driven practices, including: the Analytics Exchange (AnEx), data science workforce development initiatives, and best practice exchanges with the private sector and academia
• Coordinate response efforts and workstreams in the event of a Citywide emergency
• Handle special projects and initiatives as assigned

Preferred

• An interest and/or understanding of New York City policy and operations or strong policy or operational analysis capabilities is preferred but not required
• Mastery with spreadsheets and at least one coding language (R, Python, etc.) for data manipulation
• Mastery with ETL scripts, version control, and documentation. Which include but are not limited to a mastery in conducting data landscape analyses, identifying and documenting data sources, joining and integrating datasets, completing data and analysis quality assessment (QA) reviews, and reconciling data questions
• Mastery with presentation slides, data visualization software's, maps and memos. This includes leveraging visualization tools to present information in a way that drives fact-based decision making by developing intuitive static and interactive data graphics
• Experience conducting various types of analysis - minimum expectations include: targeting, prioritizing, anomaly detection, matching, and estimating
• Strong familiarity with providing statistical support by participating in the development of statistical methodology, study design, and data analysis of analytical projects
• Mastery in code and analysis review and in providing constructive feedback to peers on analysis quality
• New York City Policy
• New York City Operations
• Policy Analysis
• Operational Analysis
• Spreadsheet Mastery
• R
• Python
• Data Manipulation
• ETL Scripting
• Version Control
• Documentation
• Data Landscape Analysis
• Data Source Identification
• Dataset Joining
• Data Integration
• Data Quality Assessment
• Analysis Quality Assurance
• Data Reconciliation
• Presentation Slides
• Data Visualization Software
• Mapping
• Memo Writing
• Fact-Based Decision Support
• Static Data Graphics
• Interactive Data Graphics
• Targeting Analysis
• Prioritization Analysis
• Anomaly Detection
• Matching Analysis
• Estimation
• Statistical Support
• Statistical Methodology
• Study Design
• Data Analysis
• Code Review
• Analysis Review
• Analysis Quality Assessment
• Constructive Peer Feedback

Benefits

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

Company

• New York City public health agency
• Queens, New York, USA
• https://www.nyc.gov/site/doh/index.page
• Founded in 1866
• 5001-10000 employees

Qualifications

• 1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
• 2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
• 3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
• 4. Education and/or experience which is equivalent to "1", "2", or "3" above
• An interest and/or understanding of New York City policy and operations or strong policy or operational analysis capabilities is preferred but not required
• Mastery with spreadsheets and at least one coding language (R, Python, etc.) for data manipulation
• Mastery with ETL scripts, version control, and documentation. Which include but are not limited to a mastery in conducting data landscape analyses, identifying and documenting data sources, joining and integrating datasets, completing data and analysis quality assessment (QA) reviews, and reconciling data questions
• Mastery with presentation slides, data visualization software's, maps and memos. This includes leveraging visualization tools to present information in a way that drives fact-based decision making by developing intuitive static and interactive data graphics
• Experience conducting various types of analysis - minimum expectations include: targeting, prioritizing, anomaly detection, matching, and estimating
• Strong familiarity with providing statistical support by participating in the development of statistical methodology, study design, and data analysis of analytical projects
• Mastery in code and analysis review and in providing constructive feedback to peers on analysis quality

Required skills

• Anomaly Detection, Code Review, Data Analysis Review, Data Documentation, Data Integration, Data Matching, Data Quality Assurance, Data Visualization, ETL Scripting, Estimation, Mapping, Prioritization Analysis, Python, R, Spreadsheet Software, Statistical Analysis, Statistical Methodology, Study Design, Targeting Analysis, Version Control

Experience

• 4+ years