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Assistant Marine Data Science Jobs in Georgia (NOW HIRING)

Guidehouse

Data Engineer

Atlanta, GA · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Support cloud-based data environments and services in AWS and Azure. * Assist with the ...

Guidehouse

Data Engineer

Atlanta, GA

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Support cloud-based data environments and services in AWS and Azure. * Assist with the ...

BAE Systems

Data Eng Sr

Augusta, GA · On-site

$106K - $127K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to ... OR BA/BS degree in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 ...

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Support cloud-based data environments and services in AWS and Azure. * Assist with the ...

Guidehouse

Public Health Data Engineer

Atlanta, GA · On-site

$70K - $116K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Support cloud-based data environments and services in AWS and Azure. * Assist with the ...

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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 Georgia?

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

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

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

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

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

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

Cities in Georgia 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 Georgia as of June 2026, with employment types broken down into 2% Internship, 89% Full Time, 7% Part Time, and 2% Temporary. Highlights an 94% In-person, and 6% Remote job distribution.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Smyrna, GA

$125K/yr

Full-time

Posted 5 days ago

Internal Revenue Service rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 295 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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