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Assistant Marine Data Science Jobs (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Previous internship, research assistantship, academic project, or independent project involving ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Previous internship, research assistantship, academic project, or independent project involving ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... Job Duties and Responsibilities * Assist with exploratory data analysis to identify patterns ...

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

Data Science Intern Location: Chico, California Status : Temporary- Full-time, Non-Exempt Start ... Contribute to various projects and assist in designing and optimizing data pipelines, which may ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration ... Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National ...

Generac

Data Science Analyst

Waukesha, WI · On-site

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... The candidate will work on Enterprise data platform and other analytical projects as needed, assist ...

Lynker Corporation

Scientific Data Manager

Miami, FL

This proposed role will support marine mammal and sea turtle science through data collection, data ... * Assist Project Investigators, MMTD, and the Center Director in preparing ship time requests ...

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Assistant Marine Data Science information

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How much do assistant marine data science jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for assistant marine data science in the United States is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $27.64 per hour, depending on experience, location, and employer.

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.

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

The most popular types of Marine Data Science jobs are:

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Assistant Marine Data Science jobs near you
Infographic showing various Assistant Marine Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $43,170 per year, or $20.8 per hour.

Data Science Intern

Boston, MA • Remote

FocusKPI Inc.
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about FocusKPI Inc.external

Other

Posted 11 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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