Title: Economist/Social Scientist (SPURF and AMES projects) (21-1139)
Location: Santa Cruz, CA (95060)
Anticipated Start Date: October 1, 2021
Position Type: Full Year (12 months or more), Hourly/Non-Exempt
Benefits Eligible: Yes | www.psmfc.org/benefits
Salary Target: $26.03-37.38/hour, DOE
Job Number: 21-1139
How to Apply: Online at www.psmfc.org/careers
Closing Date: September 15, 2021 at midnight (PT)
Data Management Specialists (Social Sciences) use a background in the social sciences as they assist in the population, maintenance, enhancement and distribution of databases. They locate, obtain, standardize, enter, verify, and correct various data sets related to project goals and work plans.
This position will support two projects: (1) Fish, Food, and Fun: Exploring the Nexus of Subsistence, Personal Use, and Recreational Fisheries in Alaska (the SPURF project) and (2) Aquaculture and Marine Ecosystem Services (the AMES project). The SPURF project aims to understand the intersection of Alaska subsistence, personal use, and marine recreational fisheries in fulfilling household food needs and contribute to an improved understanding of the economic and social values of non-commercial Alaska fisheries, information that is critically important for fishery managers to understand when evaluating fisheries management or sectoral allocation changes. The project is collaborative work with the Alaska Fisheries Science Center (AFSC), Alaska Department of Fish and Game (ADF&G) and International Pacific Halibut Commission (IPHC). The goal of the AMES project is to improve understanding about ecosystem services as they relate to coastal and marine aquaculture, which as an activity and an industry has been prioritized in recent NOAA Annual Priorities and Guidance documents and in a Presidential Executive Order (EO 13921). The project involves collaborative work with the AFSC and Southwest Fisheries Science Center (SWFSC).
The employee will be responsible for the following:
• Compiling and preparing data necessary for project-related analyses.
• Conducting literature reviews and gap analyses: (1) of studies that connect non-commercial fishing, such as subsistence and recreational fishing, with economic and food motivations, cultural meaning, and nutritional needs, in order to examine key questions asked in the literature, assess the methods used in these studies to answer those questions, and identify information gaps (SPURF project); (2) of the literature studying economic and social aspects of aquaculture, particularly as they relate to ecosystem services, and identifying gaps (AMES project). If sufficient quantitative data on economic values are available in the aquaculture ecosystem services literature, collect and compile data and conduct meta-analyses.
• Conducting quantitative analyses to better understand participation and effort in Pacific halibut subsistence fishing in coastal Alaska communities.
• Working with the AFSC and SWFSC economists and other collaborators on the projects and leading in the analysis and in the writing of manuscripts suitable for publication in peer-reviewed scientific journals or as NOAA Technical Memoranda.
Essential Functions: The functions listed below are characteristic of the type and level of work associated with this group and pay band. They are not all-inclusive. Individual positions may perform some or all, as well as other similar work.
At the lower end of the range, employees:
• Compile project data into standardized electronic data formats. This includes accessing filed information and verifying its accuracy and completeness, performing data entry, electronic data transfer, editing, and error checking.
• Extract relevant data which may be presented in many different text and numeric formats, reports, tables, graphics, or figures.
• Create queries, summaries, and/or maps in response to requests for customized data.
• Prepare and manipulate various data and graphic outputs for use in reports, presentations and internet applications, using standardized retrieval scripts.
At the upper end of the range, employees:
• Develop and implement databases and libraries. Includes acquiring new data as well as taking previously created or historical databases or spreadsheets and integrating them. Data sources vary in format including database, spreadsheet, and survey data sets. Custom interfaces may be required.
• Produce written research and statistical reports (including graphs, tables, maps, and text), data sets, and data summaries using a variety of analytical techniques and software tools.
• Present research findings at a professional conference, workshop, and/or to decision makers.
Knowledge Required by the Position:
The employee must have knowledge of:
• resource, environmental, health, and/or development economis (or other relevant social sciences)
• data management concepts, principles, and methods
• theory and methods of econometric/statistical modeling and analysis
• online library databases (e.g., Web of Science, EconLit, Jstor, etc.)
• personal computers and software packages and applications for databases, spreadsheets, word processing, and econometric/statistical analyses
sufficient to: conduct in-depth literature reviews, gap analyses, and meta-analyses; conduct econometric analyses of complex data w/ potentially missing data; collect, compile, and organize data; manipulate and manage datasets; and generate written reports/papers that clearly explain the data, describe the econometric/statistical models and analyses undertaken, and interpret the results. This knowledge allows the employee to assess or interpret the significance of the results and relate that to the overall objective of the assignment.
Additional Mandatory Skills:
• Fluency in R, STATA, Python, or other statistical analysis software
• MS Office suite (Excel, Word, PowerPoint, etc.)
• Excellent communication skills, both oral and written
• Demonstrated ability to multi-task and meet deadlines
• Demonstrated ability to work well independently as well as part of a team
Additional Desirable Skills:
• Knowledge and research experience with aquaculture and ecosystem services and/or with subsistence, personal use, and/or recreational fisheries, particularly from an economic or other social science perspective
• Demonstrated experience conducting econometric/statistical analysis, especially econometric models with complex datasets
• Knowledge and experience with GIS and data visualization techniques and tools
The work is generally sedentary, although there may be some nominal walking or standing for short periods of time, or carrying of light loads of papers, books, reports, etc. that require only moderate physical ability and physical stress.
The works area is adequately lighted, heated, and ventilated. The work involves the common risks or discomforts typical of office, meeting rooms, libraries, and the like.
If selected for this position, candidate must reside in or be willing to relocate to a PSMFC member state (California, Oregon, Washington, Idaho, or Alaska).
Pacific States Marine Fisheries Commission is an Affirmative Action (AA) and Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, gender identity, age, mental or physical disability, sexual orientation, veteran status, genetic data, or other legally protected status.
If you have a disability and need assistance completing the application form, you may call the PSMFC human resources office at (503) 595-3100 between the hours of 8 a.m. and 5 p.m. PST, Monday-Friday. Reasonable accommodations for interviews will be provided upon request to individuals with disabilities.
We maintain a drug-free workplace.
Minimum Qualification Requirements:
Candidates with a Ph.D. in Economics or Applied Economics or relevant social science field are strongly preferred. However, candidates with a minimum of a master's degree in Economics or Applied Economics or other quantitative social science field plus at least two years of Specialized Experience** will be considered.
**Specialized Experience is experience that equips the applicant with the knowledge, skills, and abilities to perform successfully the duties of the position and is typically in or related to the work of the position being filled. To be creditable, Specialized Experience must have been equivalent to at least the next lower level in the normal line of progression for the position being filled.