Project Coordinator|Manager of Data and Statistics Engineer Apply
Minimum Qualifications
Bachelors degree and five years of specialized experience. Two years of the experience must have been at a supervisory level.
Substitutions:
PREFERRED QUALIFICATION: Ability to initiate and maintain relationships across a diverse set of stakeholders.
Substitutions:
- J.D. or masters degree and four years of specialized experience.
- Ph.D. and three years of specialized experience.
PREFERRED QUALIFICATION: Ability to initiate and maintain relationships across a diverse set of stakeholders.
Duties Description
As a Project Coordinator/Manager of Data and Statistics Engineer within the Research and Statistics Bureau, the incumbent will perform the following duties but are not limited to the following:
- Demonstrate the ability to work in a multidisciplinary environment, helping researchers with data integration and management and developing pipelines to empower data analysis throughout scientific and translational research.
- Responsible for managing and training other staff in the Bureau in areas of subject matter expertise.
- Designing and executing analysis independently and collaboratively with other research scientists and subject matter experts, including interacting with other research/data scientists in NYSDOL.
- Presenting and publishing plans, processes, or findings at conferences/journals.
- Collaborate with economists, analysts, and others working in this area to identify relevant public and confidential data sources (labor market data, education data, etc.).
- Develop data pipelines to extract data from various sources, ensuring secure access to confidential data.
- Clean and pre-process the data to handle inconsistencies, missing values, formatting issues, etc.
- Design and implement a secure data storage system to handle large volumes of data from diverse sources.
- Build and maintain data warehouses and lakes for efficient data retrieval and analysis. Ensure data security and access control, especially for confidential data.
- Work with economists, analysts, and others to define research questions and identify relevant data points.
- Develop statistical models and machine learning algorithms to analyze essential trends, relationships, and patterns in the data.
- Conduct exploratory data analysis (EDA) to understand the data's characteristics and potential biases.
- Collaborate with economists, analysts, and others working in this area to create non-technical informative dashboards, reports, and visualizations for public consumption.
- Design benchmarks and metrics relevant to the economic research being conducted. Explore and implement AI techniques, such as natural language processing (NLP), to analyze textual data within the system.
- Develop machine learning models for forecasting, anomaly detection, or data segmentation on approved datasets. Ensure responsible AI practices by mitigating bias and ensuring model explainability.
Additional Comments
If you are a current NYS employee and have questions regarding salary, please contact the Business Services Center (BSC): 518-457-4272, BSCHR@ogs.ny.gov.
Telecommuting is available and can be discussed during the interview.
Some positions may require additional credentials or a background check to verify your identity.
