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Entry Level Marine Data Science Jobs (NOW HIRING)

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years ... Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree in Computer Science ...

SynergisticIT

Entry Level Data Analyst

Chicago, IL · On-site

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Recent computer science/engineering/mathematics/statistics or science graduates looking to make ...

SynergisticIT

Entry Level Data Analyst

For entry level Job seekers to get client interviews and jobs they need to differentiate themselves ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

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Entry Level Marine Data Science information

What are the key skills and qualifications needed to thrive as an Entry Level Marine Data Scientist, and why are they important?

To thrive as an Entry Level Marine Data Scientist, you need a solid background in marine science, statistics, and data analysis, often supported by a relevant degree such as oceanography, marine biology, or data science. Competence with data analysis and visualization tools like Python, R, MATLAB, and GIS systems is typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret complex datasets and collaborate with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from marine data to support research, conservation, and policy decisions.

What are some typical challenges faced by entry-level marine data scientists when working with oceanographic datasets?

Entry-level marine data scientists often encounter challenges such as dealing with large and complex datasets collected from various marine sensors and remote sensing platforms. Data can be noisy, incomplete, or require significant preprocessing before analysis. Additionally, understanding the context of marine environments and collaborating effectively with oceanographers and engineers is essential to interpreting results accurately. Overcoming these hurdles provides valuable experience in data cleaning, interdisciplinary communication, and technical problem-solving.

What is an Entry Level Marine Data Scientist?

An Entry Level Marine Data Scientist is a professional who uses data analysis, modeling, and visualization techniques to study oceanographic data and solve marine-related problems. They typically work with large datasets collected from the ocean, such as temperature, salinity, currents, and marine life patterns. Their work supports scientific research, environmental monitoring, and policy development to better understand and protect marine ecosystems. Entry-level positions usually require a background in marine science, statistics, or computer science, and proficiency in programming languages like Python or R.

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

AspectEntry Level Marine Data ScienceEntry Level Marine Data Analyst
Required CredentialsBachelor's in Marine Science, Data Science, or related field; basic programming skillsBachelor's in Marine Science, Environmental Science, or related field; proficiency in data analysis tools
Work EnvironmentResearch vessels, marine research centers, environmental agenciesMarine research facilities, government agencies, environmental consulting firms
Employer & Industry UsageMarine research institutions, environmental organizations, government agenciesMarine research organizations, environmental consulting firms, government departments

Entry Level Marine Data Science focuses on applying advanced data science techniques, including machine learning and modeling, to marine data. Entry Level Marine Data Analyst primarily involves analyzing marine datasets using statistical tools. Both roles require similar educational backgrounds but differ in technical complexity and focus areas.

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Entry Level Marine Data Science jobs near you
Infographic showing various Entry Level Marine Data Science job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 27% Part Time, and 7% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Columbia, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.     

A day in the life:
You’ll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you’ll move on to improving a dashboard or other data product that you’re responsible for, or perhaps produce a weekly output the customer is expecting. You’ll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you’ll attend a team meeting (with 4 others) to prioritize things, and you’ll have a lot of interaction with the team otherwise, typically several times per day. You’ll need your sense of humor and need to be willing to leave your ego at the door.     
     
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:     
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:     
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
 
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!