Hours: Full- Time- 35 Hours
Work Location: 30-30 Thomson Avenue, LIC, NY 11101

The NYC Department of Design and Construction, Project Controls Division, seeks a Data Analytics Specialist. Under the guidance of division management, the selected candidate will perform data analysis to proactively solve complex problems in support of capital project delivery by identifying drivers of project performance and uncover correlations between project data. Responsibilities include collecting, transforming, analyzing, and interpreting large, complex datasets across projects using statistical and machine learning techniques to identify patterns and insights that can help project management team make data-driven decisions. The selected candidate will design data models and tools to support analysis, develop predictive models, uncover correlations between project data, identify drivers of project performance, use appropriate statistical and machine learning techniques for predictive analytics, and develop visualizations based on project management needs. Candidate will support review and selection of best available technology such as Azure Analytics, Python libraries and data science algorithms such as random forest.

Authorization to work in the United States is required for this position. NYC Department of Design and Construction does not provide sponsorship for international employees for visa applications, extensions or status changes, including STEM/OPT visas. Applicants are responsible for ensuring that they meet all qualifying requirements for this position, at the time of application.

All applicants, including City Employees:
Please go to NYC Government Jobs | Explore Careers | City of New York, go to Search for Open Jobs, and type in the Job ID # listed above. Submit job application as prompted. Do not apply via Employee Self-Service (ESS), e-mail, mail, or fax your resume to DDC directly.

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.

Strong analytical skills Background in computer science, mathematics and/or statistics desirable Experience with machine learning algorithms and statistical modeling Experience with programming languages such as Python, R, and SQL Experience with Azure services Experience with data management technology architecture Strong communication skills to explain complex findings to non-technical stakeholders.

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https://studentaid.gov/pslf/.

New York City Residency is not required for this position

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.