Data Jobs in Sausalito, CA

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Assistant Data Scientist

Institute for Wildlife Studies Sausalito, CA

Sausalito, CA

Today

$37 - $45/hr Full time Data Analysis Data Analytics Data Integration

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Job Description

The Institute for Wildlife Studies (IWS) is looking for an Assistant Data Scientist to support Ecological Inventory and Monitoring activities across National Park Service networks. This onsite role supports annual science information lifecycles within the Inventory and Monitoring Program (IMD), partnering closely with NPS network staff for data management and data science work.

Working with the San Francisco Bay Area Network (SFAN), Pacific Islands Network (PACN), and Upper Columbia Basin Network (UCBN), you will help advance data acquisition, processing, quality control, analysis, reporting, and dissemination. The position also involves building tools, automating recurring data-release tasks, and maintaining and improving network data systems.

Key Responsibilities

Support annual science information lifecycles, including assistance with field data acquisition (digital data collection, GIS, GPS), post-collection processing into NPS data systems (data entry, ETL), post-processing QA/QC, analysis, reporting, and data dissemination.
Collaborate with NPS staff to develop and implement tools for metadata extraction and creation.
Develop and implement scripts that produce data-release reports (DRR) for data packages.
Perform database maintenance, development, and migration (including to enterprise systems and cloud environments).
Conduct geospatial analysis as needed to support field data collection and vital sign monitoring synthesis and analysis requests.
Develop and implement data-visualization applications and dashboards.
Develop digital data-collection applications (including ESRI/ArcGIS Survey123 and Field Maps) to support efficient, high-quality data capture.

Required Qualifications

B.A. or higher degree.
Strong background in data management and well-developed conceptual competency with programming languages.
Thorough understanding of data management theory and standards, with ability to apply them across different platforms.
Ability to incorporate QA/QC measures effectively across the data lifecycle.
Ability to support data sustainability and longevity through effective metadata and documentation.
Stays current on best practices.
Creates data systems (for example, Access, SQL Server) aligned with FAIR data and open science principles to maximize network impact.
Ensures data is accessible in open-source formats and shared with public online repositories where appropriate.
Strong attention to detail focused on data quality.
Proficiency with multiple data platforms (for example, Power BI, ArcGIS, AGOL, Survey123, Field Maps) and programming languages (R, Python, VBA, SQL).
Demonstrated verbal and written communication skills.
Natural resource management and ecological sciences experience and knowledge would be beneficial.

Tools & Technologies

R, Python, VBA, SQL, Access, SQL Server
Power BI, ArcGIS, AGOL, ESRI/ArcGIS Survey 123, Field Maps
GIS, GPS, ETL, metadata extraction and creation
Data-release reports (DRR)

Work Location, Schedule, and Pay

Location: Sausalito, CA (onsite). Preferred duty location is Fort Cronkhite at Golden Gate National Recreation Area, co-located with SFAN staff, with another potential duty location at UCBN (Moscow, Idaho).
Work schedule: Standard 5-day, 40-hour work week.
Start date: Flexible, projected start date in October or November 2026.
Compensation: $37.00 to $45.00 per hour; overtime is paid at 1.5 times the hourly rate.

Benefits

Health insurance
Sick leave
Paid vacation
Paid holidays
Optional dental plan
403(b) retirement plan
401(k)
Paid time off

How to Apply

Submit a single PDF file containing a combined cover letter and resume, plus names and contact information for three professional references (including telephone number, email, and work address). The cover letter should address experience relevant to the qualifications listed above.

Email application materials to: iwsjobs@iws.org
Subject line: include “Assistant Data Analyst”
Applications will be reviewed in the order they are received.

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