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Assistant Marine Data Science Jobs in California

Find Data Science

Data Scientist

San Francisco, CA

Document methodologies and processes to ensure that data science projects are scalable and sustainable. * Assist in the data governance process to ensure data accuracy and integrity. Requirements

Figma

Director, Data Science

San Francisco, CA · On-site +1

Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants ... high output Data Science teams, with at least 2 years managing other managers * 7+ years of ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine ... * Assist in prototyping AI agents and conversational interfaces that allow analysts to query data ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... * Assist in prototyping AI agents and conversational interfaces that allow analysts to query data ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... * Assist in prototyping AI agents and conversational interfaces that allow analysts to query data ...

Figma

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

The AI Product's Data Science org is at the center of the next generation of products at Figma ... Proven experience building or measuring AI products, ideally LLM-powered assistants, agents ...

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All JobsMarine Data Science JobsAssistant Marine Data Science JobsAssistant Marine Data Science Jobs in California

Assistant Marine Data Science information

What is an assistant marine data scientist?

An Assistant Marine Data Scientist is an early-career professional who supports research and analysis of data related to the marine environment. Their work involves collecting, processing, and interpreting data from sources such as ocean sensors, satellite images, and underwater vehicles to help understand oceanographic trends and marine ecosystems. They typically assist senior scientists with tasks like data cleaning, statistical analysis, and visualization, contributing to projects that inform marine policy, conservation, and resource management.

What are the key skills and qualifications needed to thrive as an assistant marine data scientist?

To thrive as an Assistant Marine Data Scientist, you need a solid background in marine science, statistics, and programming, often supported by a relevant degree in marine biology, oceanography, or data science. Proficiency in technical tools such as Python or R, GIS software, and experience with marine data collection systems are typically required. Strong analytical thinking, attention to detail, and effective teamwork are essential soft skills in this role. These skills and qualities enable accurate data analysis, support impactful marine research, and facilitate successful collaboration on multidisciplinary projects.

What types of projects and data sources will I typically work with as an assistant marine data scientist?

As an Assistant Marine Data Scientist, you will commonly support projects involving oceanographic research, marine biodiversity monitoring, and climate impact studies. You'll work with diverse datasets such as satellite imagery, sensor data from buoys, vessel tracking information, and biological survey results. Your daily tasks may include data cleaning, statistical analysis, and collaborating with researchers and marine biologists to interpret the findings and prepare reports or visualizations. This role offers a mix of independent technical work and teamwork, providing a strong foundation for growth in marine science and data analytics.

What is the difference between Assistant Marine Data Science vs Marine Data Analyst?

AspectAssistant Marine Data ScienceMarine Data Analyst
Required CredentialsBachelor's in Marine Science, Data Science, or related fields; some roles may prefer certifications in data analysis or marine technologyBachelor's in Marine Science, Data Analysis, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch vessels, marine research centers, environmental agenciesMarine research facilities, environmental agencies, consulting firms
Employer & Industry UsageMarine research institutions, government agencies, environmental organizationsEnvironmental consulting firms, government agencies, research institutions

Assistant Marine Data Science roles focus on supporting data collection, processing, and preliminary analysis under supervision, often involving data management and basic modeling. Marine Data Analysts typically perform detailed data analysis, visualization, and reporting to inform marine research and policy. While both roles require similar educational backgrounds, Assistant Marine Data Science positions are more entry-level and support-based, whereas Marine Data Analysts are more focused on interpreting data for decision-making.

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

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

What are popular job titles related to Assistant Marine Data Science jobs in California?

For Assistant Marine Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Assistant Marine Data Science jobs in California look for?

The top searched job categories for Assistant Marine Data Science jobs in California are:

What cities in California are hiring for Assistant Marine Data Science jobs?

Cities in California with the most Assistant Marine Data Science job openings:

Assistant Marine Data Science jobs near you
Infographic showing various Assistant Marine Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 13 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.