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Data Scientist (21-406)

Employer
IBSS Corp.
Location
Seattle, Washington, US
Salary
Competitive
Closing date
Aug 31, 2022

View more

Sector
Academic / Research
Field
Conservation science
Discipline
Modeling
Salary Type
Salary
Employment Type
Full time
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Job Title: Data Scientist

Location: Seattle, WA

Clearance Required: Public Trust Eligible

Description:

IBSS is seeking a full-time Data Scientist to compile data and ocean model projections to develop new species distribution models (SDMs) and manuscripts, as well as interpret data and ocean model projections for new species distribution models (SDMs).

Key Responsibilities:

Data Compilation & Modeling

Obtain, collate, and organize data (including but not limited to traditional and environmental DNA survey data, and capturing of all metadata) on groundfish abundance from California, Oregon, and Washington
Obtain, collate, and organize groundfish data (including metadata documentation) and ocean projections for the California Current ecosystem
Develop, maintain, and organize scripts in the R language to process and plot raw data and transform the information into forms that can be fed into species distribution models
Develop, maintain, and organize scripts in the R language to process and plot raw data into forms that can be usefully applied to frameworks for assessing social adaptive capacity and resilience to climate change
Create species distribution models of groundfish based on historical and future ocean projections, in collaboration with the Federal Project Lead, and in relation to existing and potential future ocean uses
Construct graphs and tables of associated data and model outputs using standard desktop graphics packages for use in reports, presentations at meetings, and conferences, and for preparation of peer reviewed publications, as well as present results at scientific meetings and conferences
Lead and assist with scientific writing and editing sections of annual reports and peer reviewed publication on topics such as groundfish distributions to groundfish fishing grounds as well as other existing and potential future ocean uses, such as development of offshore wind energy
Develop, maintain, and organize scripts in the R language to process and plot raw data and projections and transform the information into forms that can be fed into the Atlantis Ecosystem Model
Obtain, collate, and organize data (including metadata documentation) on US west coast groundfish, groundfish fisheries, and fishing communities

Data Interpretation & Analysis

Provide insights on conceptual framing and contextualization of research on species distribution models for fisheries species and fisheries
Assist with development of graphs and tables of data and model outputs related to species distribution models of groundfish using standard desktop graphics packages for use in reports, presentations at meetings, and conferences, and for preparation of peer reviewed publications
Obtain, collate, and organize data (inclusive of metadata) on US west coast groundfish, groundfish fisheries, and fishing communities
Develop, maintain, and organize scripts in the R language to process and plot raw data into forms that can be usefully applied to frameworks for assessing social adaptive capacity and resilience to climate change
Create and assist with construction of graphs and tables of associated data and model outputs using standard desktop graphics packages for use in reports, presentations at meetings, and conferences, and for preparation of peer reviewed publications
Lead or assist with scientific writing and editing sections of annual reports and peer reviewed publications with staff scientists, as well as present results at scientific meetings and conferences

Required Skills, Education & Qualifications:

MSc or PhD degree, from an accredited college or university with a major directly related in a field of study as related to the requirements of specific task order with emphasis in fisheries, oceanography, natural science, ecology, fish biology, mathematics, or hydrology
Two (2) years (for a PhD) or five (5) years (for an MSc) of experience in a related field or combination of such totaling seven (7) or more years combined education/experience
Basic computer skills (MS Office, etc.)
Excellent written and verbal communication skills
Demonstrated proficiency and experience dealing with large, complicated fisheries data sets, complex species distribution models, population and ecosystem assessments, spatial analysis, and quantitative modeling
Expertise in the use of computer coding and statistical analyses using the language R
Experience using GitHub or other programs that facilitate an open exchange and sharing of code and data
Knowledgeable about groundfish ecology and west coast fisheries. Experience developing and leading research analyses
Familiarity with climate models and climate data

About IBSS Corp.

IBSS is a Woman-Owned business. Since 1992, IBSS has provided specialized professional, scientific, technical, cybersecurity, IT, and software engineering solutions to the Federal sector. Our clients include the National Oceanic and Atmospheric Administration (NOAA), the Department of Defense (DoD), and the Department of Justice (DOJ). We are committed to serving our clients and employees by delivering service excellence, creating value through technology, and continually improving our skills, services, and processes. Moreover, we maintain an ISO 9001:2015 certification which allows us to optimize current industry best practices to enhance delivery outcomes for our clients.

IBSS offers a competitive benefits package including medical, dental, vision and prescription drug coverage with company-paid deductible, paid time off, federal holidays, matching 401K plan, tuition/professional development reimbursement, and Flex-Spending (FSA)/Dependent Care Account (DCA) options.

IBSS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.
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