ECS has an immediate opening for a person to support the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) Northwest Fisheries Science Center (NWFSC). The Economics Team at the NWFSC in Seattle, WA, is seeking support to work on the Economic Data Collection Program (EDC). The EDC program is an annual, mandatory, economics survey of all participants in the West Coast Trawl Catch Share Program, including catcher vessels, catcher processors, motherships, first receivers, and shoreside processors. This is an important program that collects and analyzes data to report on the economic effects of catch shares.
- Assist in administering the data collection and database maintenance. Specific activities include processing forms and entering data, verifying data accuracy, contacting participants to correct submissions, development of data quality checks, and other logistical items.
- Conduct statistical analyses of the data to report and analyze catch share performance. This includes performing exploratory data analysis, summarizing data, statistical modeling, and calculating or estimating performance metrics. Products include analyses for annual reports, analyses for the Pacific Fishery Management Council, and stand-alone papers.
More information about the EDC program can found at:
More information about the West Coast Trawl Catch Share Program can be found at:
- Bachelor's Degree, but a Graduate Degree is preferred
- At least 4 years of experience conducting data and statistical analyses
- Proficient in R and/or SQL programming.
- Ability to communicate effectively with diverse audiences via email and telephone.
- Ability to think creatively in terms of approaches and tactics and deal successfully with ambiguities and unknowns.
- Motivated, proactive, and self-starter.
- Ability to perform multiple simultaneous functions with critical deadlines.
- Proven ability to work on a team.
- Knowledge of West Coast fisheries.
- Experience conducting economic, financial or fishery related analyses.
- Experience developing and working with databases.
- Experience using rmarkdown, LaTeX, and/or knitr