ZipRecruiter

Log In

2

Entry Level Data Science Jobs in Alaska (NOW HIRING)

Tetra Tech

Data Coordinator

Anchorage, AK · On-site

Tetra Tech is seeking a Data Coordinator to join our Ocean Science team, with flexibility to be ... related scientific discipline. * Entry-level candidates will be considered; however, relevant ...

Tetra Tech, Inc.

Data Coordinator

Anchorage, AK · On-site

Tetra Tech is seeking a Data Coordinator to join our Ocean Science team, with flexibility to be ... related scientific discipline. * Entry-level candidates will be considered; however, relevant ...

SGS

Project Manager Assistant

Anchorage, AK · On-site

Our Anchorage, AK laboratory is looking for an entry-level Project Manager Assistant to join their ... Manages subcontracting and subcontracting data to ensure timely delivery of analytical reports to ...

SGS

Project Manager Assistant

Anchorage, AK · On-site

Our Anchorage, AK laboratory is looking for an entry-level Project Manager Assistant to join their ... Manages subcontracting and subcontracting data to ensure timely delivery of analytical reports to ...

OSC Global

Cyber Security Intern (GRC)

Anchorage, AK · On-site

$21 - $32.50/hr

This entry-level role is designed for students eager to gain practical, hands-on experience across ... data. This is a full-time remote internship (30-40 hours per week) based in Richland, WA, with ...

Deeptree

Help Desk Technician I

Wasilla, AK · On-site

$18 - $27/hr

This entry-level technical position is responsible for maintaining high-quality white-glove ... Apply logical or scientific thinking principles to define problems, collect data, establish facts ...

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Alaska

Entry Level Data Science information

See Alaska salary details

$11

$20

$28

How much do entry level data science jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for entry level data science in Alaska is $20.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $23.03 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Alaska? The most popular types of Data Science jobs in Alaska are:
What are popular job titles related to Entry Level Data Science jobs in Alaska? For Entry Level Data Science jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Alaska look for? The top searched job categories for Entry Level Data Science jobs in Alaska are:
What cities in Alaska are hiring for Entry Level Data Science jobs? Cities in Alaska with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Alaska as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $42,679 per year, or $20.5 per hour.

Data Coordinator

Tetra Tech

Anchorage, AK • On-site

Other

Posted 4 days ago

Tetra Tech rating

6.4

Company rating: 6.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

394th of 438 rated engineering

Job description

The Opportunity:

Tetra Tech is seeking a Data Coordinator to join our Ocean Science team, with flexibility to be based in our Anchorage, AK office or remotely within Alaskan, Hawaii-Aleutian, or Pacific regional time zones within the United States.

This is an exciting opportunity to join a collaborative team of scientists, engineers, and software developers who provide cyberinfrastructure support, data management systems, and scalable technical solutions for organizing and analyzing large diverse datasets for organizations around the world. 
Why Tetra Tech:

At Tetra Tech, we are Leading with Science to solve the world's most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For 60 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development. Our science-based planning and design improves lives in our local communities and around the world.

Your Impact:

Join Tetra Tech to make a real difference.Our workleveragescutting-edgetechnologies, advanced analytics, and theexpertiseof world-class scientists and engineers to create meaningful change around the world.Discover your full potential - join us to advance your career while leavinga lasting legacy.

Position Summary:

We're seeking a Data Coordinator to join our team of data managers and software engineers in support of data curation and data product development. In this role, you will organize, document, and preserve oceanographic and environmental datasets produced by partner organizations. You will work with researchers on single- and multi-year interdisciplinary projects to support data management throughout the project lifecycle, following FAIR Data Principles and CARE Principles. You will also participate in meetings with funders and researchers, share updates on data management progress, and help lead data management training workshops.

The ideal candidate has a background or strong interest in environmental science, experience with data management, best practices, excellent communication skills, and the ability to work independently while building strong relationships with researchers, partners, and the Tetra Tech Ocean Sciences team. 
Essential Job Functions:

The following duties are considered essential to the role. Reasonable accommodation may be made to enable individuals with disabilities to perform these essential functions:

  • Manage scientific data by organizing and documenting datasets to support long-term preservation and public accessibility.

  • Assist in selecting and applying standardized data and metadata formats to ensure datasets are analysis-ready and suitable for long-term preservation.

  • Develop, monitor, and maintain data and metadata delivery schedules for research teams and project stakeholders.

  • Support the salvage, manipulation, and documentation of historical datasets to improve usability and completeness.

  • Provide user support for Tetra Tech's data portals and data management tools.

  • Coach and train partner scientists and program staff on data management best practices through formal or informal presentations and meetings.

  • Provide data lifecycle support to partner scientists through virtual and in-person meetings, conferences, and product demonstrations.

  • Support data management activities across multiple projects and partners simultaneously, adapting to varying timelines, contacts, and program requirements.

Required Qualifications:

  • Bachelor's degree in Library and Information Science, Marine Sciences, Wildlife Biology, Environmental Science, or a related scientific discipline.

  • Entry-level candidates will be considered; however, relevant coursework and internship experience are required.

  • Familiarity with responsible data management practices and common data formats used for collection, analysis, and preservation, such as CSV and NetCDF.

  • Knowledge of and/or experience with standard scientific metadata formats, such as ISO, EML, Darwin Core, CF Conventions, and ACDD.

  • Demonstrated ability to synthesize technical information and communicate it clearly to a variety of audiences.

  • Self-motivated, independent, and flexible, with the ability to manage multiple priorities.

  • Familiarity with and/or experience using data management, data visualization, and metadata authoring tools such as those hosted by DataONE, NCEI, EDI (Environmental Data Initiative), Dataverse, Dryad, Zenodo, etc.

  • Familiarity with scientific scripting or programming languages such as Python or R.

  • Familiarity with working in a software development or agile development environment.

Preferred Qualifications: 

  • Experience collecting data as part of a scientific research project or program, including experience publishing open data products is preferred.

Physical Requirements:

  • Ability to travel for conference events and client meetings as needed; travel is estimated at up to 5% annually, including occasional overnight travel.

  • Ability to sit at a workstation and work on a computer for extended periods.

  • Ability to communicate effectively in-person and through electronic means.

  • Manual dexterity to use a computer mouse, keyboard, and other tools.

  • Visual acuity to read and interpret technical documents.

Additional Information:

  • For this role, we are open to hybrid work schedules in our Anchorage, AK office, or remote work schedules within Alaskan, Hawaii-Aleutian, or Pacific regional time zones within the United States.

  • This is a full-time position, typically 40 hours per week, with standard hours of 9:00 a.m. to 5:00 p.m., Monday through Friday. Additional hours may be required based on project needs.

Life at Tetra Tech:

The perks of working at Tetra Tech include:

  • Comprehensive and market-competitive benefits.

  • Merit-based financial rewards.

  • Flexibility and company-wide commitment to work/life balance.

  • A collaborative team atmosphere that values the contributions of all employees.

  • Learning and development opportunities for ongoing professional growth.

About Tetra Tech:

Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. With 25,000 employees working together, Tetra Tech provides clear solutions to complex problems by Leading with Science to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition.

Tetra Techis proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans.

We invite applications from all interested parties.

Explore our open positions at https://www.tetratech.com/careers. Follow us on social media to learn more about our people, culture, and opportunities:

LinkedIn: @TetraTechCareers

X (Twitter): @TetraTechJobs

We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.

Please no phone calls or agencies.

Additional Information
  • Organization: 100 DIV

What Tetra Tech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply