2

Entry Level Conservation Data Science Jobs in California

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning ... entry level position each additional Technical skill helps a candidate's resume to be picked by ...

Scientific Data Curator

Santa Rosa, CA · On-site

$64K - $65K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... within an internal LIMS database. A successful candidate will review existing records, apply a ...

Scientific Data Curator

Sonoma, CA · On-site

$66K - $66K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... within an internal LIMS database. A successful candidate will review existing records, apply a ...

Scientific Data Curator

Hayward, CA · On-site

$67K - $68K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... within an internal LIMS database. A successful candidate will review existing records, apply a ...

Scientific Data Curator

San Mateo, CA · On-site

$67K - $67K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... within an internal LIMS database. A successful candidate will review existing records, apply a ...

Scientific Data Curator

Alameda, CA · On-site

$68K - $69K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... within an internal LIMS database. A successful candidate will review existing records, apply a ...

Scientific Data Curator

San Jose, CA · On-site

$69K - $69K/yr

... entry-level scientist to support curation and standardization of experimental assay data stored ... within an internal LIMS database. A successful candidate will review existing records, apply a ...

next page

Showing results 1-20

Entry Level Conservation Data Science information

What types of projects can an Entry Level Conservation Data Scientist expect to work on, and how do they typically contribute to larger conservation efforts?

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, and why are they important?

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 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:
What cities in California are hiring for Entry Level Conservation Data Science jobs? Cities in California with the most Entry Level Conservation Data Science job openings:
Infographic showing various Entry Level Conservation Data Science job openings in California as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% In-person job distribution.
Entry Level Java/C++ Developer

Entry Level Java/C++ Developer

SynergisticIT

Stockton, CA • On-site

Other

Posted 16 days ago


Job description

SYNERGISTICIT knows the job market is tough, with nearly 600,000 tech layoffs in the past two years. This has flooded the market with many laid-off tech workers competing with current jobseekers. For entry-level jobseekers to get interviews and jobs, they need to stand out by having strong skills and knowledge of the latest technologies.
Since 2010, we've helped jobseekers stand out by preparing them with the skills and experience needed to excel in interviews and at work. At SynergisticIT, we don't just help you find a job-we help you build a career.
Open Positions We welcome candidates with all types of visas and U.S. citizens to apply.
We match clients with candidates who are ready to perform from day one. In today's economy, clients don't want to spend time and resources on training entry-level hires. That's why many experienced and new tech workers remain unemployed.
With remote work becoming common, clients can hire talent from anywhere. This makes it even more important for jobseekers to improve their skills and meet client expectations.
We understand the gap between what employers need and what jobseekers can offer. That's why we've helped thousands of candidates secure jobs with top companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.
Who Should Apply? Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
If you get emails from our skill enhancement team and are not interested, please ask to be removed from their list. Their database is shared with the client servicing team.
please check the below links to see success outcomes of our candidates
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If you have the right skills and industry experience, please apply!
Interview Preparation Visit this link to prepare for interviews: https://www.synergisticit.com/interview-questions/
Required Skills for Java/Software Programmers

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Highly motivated, eager to learn, and curious about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Project experience with the required skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with relevant technologies.
  • Highly motivated, eager to learn, and curious about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning roles: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require real-world experience and relevant skills, even for junior or entry-level positions. Additional skills and hands-on project work with clients are crucial for being selected.
  • If you lack the necessary skills or project experience, you can opt for skill enhancement programs to improve your qualifications.
  • No third-party candidates or c2c candidates, please.
  • Apply only through the job posting.
  • If you receive emails from our skill enhancement team and are not interested, please ask them to remove you from their list. Their database is shared with the client servicing team.