Research Scientist 4 - Albany

As a Research Scientist 4 within the Research & Statistics Bureau, the incumbent will perform the following duties but are not limited to:

• 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.
• 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 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 Expectations:

• Participate in change in organizational transformations, ensuring successful adoption and alignment with strategic objectives
• Engage in technology and innovation by leveraging emerging technologies to optimize processes and enhance customer experiences
• Proactively manage relationships with key stakeholders internally and externally
• Think strategically about current and future organizational needs
• Adapt to shifting priorities
• Participate in the comprehensive process of implementing changes, ensuring smooth transitions, effective communication, and minimal disruption
• Proactively identify, address, and resolve conflicts to foster constructive dialogue and a productive, collaborative work environment
• Analyze issues, make sound judgments, and implement effective solutions to drive positive outcomes
• Proactively identify potential challenges and identify preventative solutions
• Take part in team collaboration and achieve agency objectives
• Effectively convey information, ideas, and expectations to diverse audiences through various channels, ensuring clarity and understanding
• Foster an inclusive and equitable environment that values and leverages the strengths of a diverse workforce
• Ensure exceptional customer service by proactively addressing needs and expectations
• Demonstrate self-awareness and empathy to effectively manage relationships, build trust, and foster productive interactions
• Uphold the highest standards of ethical conduct and professional integrity in all actions and decisions
• Maintain and apply an understanding of relevant technologies and digital tools to optimize performance and drive innovationNon-Competitive Minimum Qualifications:

Bachelor's degree and five years of professional research experience* in an appropriate field; Or

Master's degree and four years of professional research experience in an appropriate field; Or

Ph.D. degree and three years of professional research experience in an appropriate field.

*Substitutions: master's degree in an appropriate field substitutes one year of experience, and Ph.D. in an appropriate field may substitute two years of experience.

Preferred Qualifications:

• Two years of experience at the supervisory level
• Ability to initiate and maintain relationships across a diverse set of stakeholders.