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Entry Level Conservation Data Science Jobs in California

Marine Science Educator

Sausalito, CA · On-site

$28 - $31.49/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... recording data. * Facilitate check-in and check-out procedures for assigned programs. * Address ... Maintains up to date knowledge of marine mammal science, ocean conservation, and climate change ...

Marine Science Educator

Sausalito, CA · On-site

$28 - $31.49/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... recording data. * Facilitate check-in and check-out procedures for assigned programs. * Address ... Maintains up to date knowledge of marine mammal science, ocean conservation, and climate change ...

DSP Algorithms Engineer (Entry-Level)

El Segundo, CA

$79K - $106K/yr

  • Medical

  • Life

  • Retirement

... data science, or computer science. * Education and/or experience in signal processing. Preferred ... Summary Pay Range for Entry-Level -$79,050- $106,950 Language Requirements: Not Applicable ...

DSP Algorithms Engineer (Entry-Level)

El Segundo, CA

$79K - $106K/yr

  • Medical

  • Life

  • Retirement

... data science, or computer science. * Education and/or experience in signal processing. Preferred ... Summary Pay Range for Entry-Level -$79,050- $106,950 Language Requirements: Not Applicable ...

DSP Algorithms Engineer (Entry-Level)

El Segundo, CA · On-site

$79K - $106K/yr

  • Medical

  • Life

  • Retirement

... data science, or computer science. * Education and/or experience in signal processing. Preferred ... Summary Pay Range for Entry-Level -$79,050- $106,950 Language Requirements: Not Applicable ...

Student/Graduate Intern

San Jose, CA · On-site

$28.27 - $32.27/hr

... perform entry-level professional work supporting the development, integration, testing ... Data Science * Related technical field Preferred Academic Focus * Computer Science * Information ...

Junior Web Application Developer

Sunnyvale, CA · On-site

$78K - $101K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Showing results 41-60

Entry Level Conservation Data Science information

What types of projects does an entry level conservation data scientist work on?

As an Entry Level Conservation Data Scientist, you can expect to work on projects such as analyzing wildlife population data, mapping habitat changes using GIS, and modeling the impacts of environmental policies. Your work often involves managing and cleaning ecological datasets, running statistical analyses, and visualizing results to support conservation decisions. You’ll typically collaborate with ecologists, field researchers, and policy teams to translate data insights into actionable conservation strategies. This role is a great starting point for learning how data-driven approaches directly inform and improve conservation practices.

What is entry level conservation data science?

Entry level conservation data science is a field where professionals use data analysis and computational tools to help solve problems in environmental conservation. These roles typically involve collecting, cleaning, and analyzing data related to wildlife, ecosystems, and natural resources. Entry-level positions may include tasks like managing databases, visualizing geographic information, and supporting research projects. This field is ideal for recent graduates with skills in data science, ecology, or environmental science who want to contribute to conservation efforts.

What are the key skills and qualifications needed to thrive as an entry level conservation data scientist?

To thrive as an Entry Level Conservation Data Scientist, you need a background in ecology or environmental science, proficiency in data analysis, and experience with statistics, usually supported by a relevant bachelor's degree. Familiarity with programming languages like R or Python, data visualization tools, and GIS software is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and share findings clearly. These competencies are crucial for generating actionable insights from complex environmental data to support conservation decision-making.

What is the difference between Entry Level Conservation Data Science vs Entry Level Environmental Data Analyst?

AspectEntry Level Conservation Data ScienceEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; basic programming skillsBachelor's in Environmental Science, Data Analysis, or related field; proficiency in data tools
Work EnvironmentFieldwork, research institutions, conservation organizationsResearch labs, government agencies, environmental consultancies
Employer & Industry UsageConservation projects, wildlife agencies, NGOsEnvironmental impact assessments, policy analysis, sustainability firms

While both roles involve analyzing environmental data, Conservation Data Scientists focus on applying data science techniques to conservation efforts, often combining field data with advanced analytics. Environmental Data Analysts typically handle data interpretation for environmental reports and policy. The roles overlap in skills and industry but differ in focus and application.

What are the most commonly searched types of Conservation Data Science jobs in California?

The most popular types of Conservation Data Science jobs in California are:

What are popular job titles related to Entry Level Conservation Data Science jobs in California?

For Entry Level Conservation Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Conservation Data Science jobs in California look for?

The top searched job categories for Entry Level Conservation Data Science jobs in California are:

Infographic showing various Entry Level Conservation Data Science job openings in California as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, 6% Temporary, and 4% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution.

Junior java developer /Data Analyst/Scientist

SynergisticIT

Los Angeles, CA • On-site

Other

Posted 12 days ago


Job description

Your Tech Career Is Still Within Reach? Rebuild Momentum With a Placement Process Even if you’ve been rejected, laid off, or out of the field for years, your tech career is still within reach. SynergisticIT helps you rebuild your confidence and sharpen your skills through hands‑on real‑world projects. You’ll also receive interview coaching and resume optimization that highlight your strengths. Also get marketed directly to Fortune 500 companies, giving you access to opportunities that most job seekers never see. Your career isn’t over — it’s waiting for the right opportunity. Synergisticit helps you reach it faster. A career gap doesn’t disqualify you — outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn’t translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you’ve been out for 3–6+ months, that gap can become an extra filter—unless you deliberately rebuild momentum. We’re actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Citi, Bank of America, Wayfair, and others), with offers in the $95k–$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market. Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just “I coded,” but “I can build + deploy + collaborate + document + explain.” That’s especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics → engineering → ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not “apply more.” It’s: Re-stack: align skills to today’s demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling. Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point—not a pause. If you’re ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it’s not only what you know—it’s how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.