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Part Time Data Scientist Jobs in Alaska (NOW HIRING)

$7.25 - $55/hr

Posted Job Title Web Application Developer, Jewish Studies (Temporary, Part-Time) Job Profile Title ... data set. Qualifications: Bachelor of Science and 2 to 3 years of experience or equivalent ...

The candidate provides expert scientific guidance, project leadership, and regulatory ... Data Quality, QA/QC, and Technical Analysis * Experience with environmental compliance, reporting ...

Use and maintain scientific testing equipment. * Process test data using computer software ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Part Time Data Scientist information

See Alaska salary details

$40.4K

$132.2K

$211.6K

How much do part time data scientist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for part time data scientist in Alaska is $132,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

What Does a Part-Time Data Scientist Do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience through projects or certifications. Employers value skills and experience over age, making it possible to start a data science career at 40 or older.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

Is a data scientist job still in demand?

Data scientist jobs remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the role often offers flexible or part-time schedules for qualified candidates.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

Can you work part-time as a data scientist?

Yes, data scientist roles can be available on a part-time basis, especially in freelance, consulting, or project-based work. Employers may require specific skills such as programming in Python or R, data analysis, and familiarity with tools like SQL or machine learning frameworks, which can be adapted to part-time schedules depending on the company's needs.
What are the most commonly searched types of Data Scientist jobs in Alaska? The most popular types of Data Scientist jobs in Alaska are:
What are popular job titles related to Part Time Data Scientist jobs in Alaska? For Part Time Data Scientist jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Alaska look for? The top searched job categories for Part Time Data Scientist jobs in Alaska are:
What cities in Alaska are hiring for Part Time Data Scientist jobs? Cities in Alaska with the most Part Time Data Scientist job openings:
Infographic showing various Part Time Data Scientist 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 $132,182 per year, or $63.5 per hour.
Data Technician - Call Center Operations

Data Technician - Call Center Operations

AIS, Inc.

Anchorage, AK • On-site

Full-time, Part-time

Medical, Dental, PTO

Posted 26 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for 6 Data Technicians for an upcoming project we are looking to bid on. The technicians will be responsible for supporting the day-to-day operations of NMFSs Office of Law Enforcement (OLE) Call Center.
Primary Function:
The Data Technician supports federal fisheries law enforcement by processing and managing critical data from a variety of sources, including fishery landing reports, logs, and notifications. Technicians handle sensitive information, ensure data accuracy, and assist enforcement officers by generating reports and maintaining records. The position plays a vital role in ensuring compliance with fishing regulations and supporting investigations through accurate and accessible information.
Responsibilities/Duties:
  • Key- enter and sight verify all data received.
  • Perform independent data entry and verification for all incoming fisheries data.
  • Follow established procedures, policies, and regulations to ensure accurate and timely processing.
  • Maintain detailed records and filing systems (both electronic and hard copy).
  • Monitor workload and request task prioritization when necessary.
  • Communicate technical issues and equipment malfunctions to appropriate personnel.
  • Receive Notifications of IFQ Prior Notice of Landing (PNOL):
  • Back-up the Electronic Reporting System and Receive, Review and File Manual Landing Reports (MLR):
  • Answer Customer Support Calls and Maintain Call Log for eLandings Customer Support:
  • Receive and Maintain Files Pertaining to Transshipment Authorizations (TAs):
  • Receive and Document Vessel Monitoring System calls (VMS) & Area Clearance
  • Receive and Process IFQ Departure Reports
  • Process Violation Reporting Forms
  • Receive and Process Daily Cumulative Production Logs, Daily and Charter Fishing Logs
  • Receive and Process Product Transfer Reports
  • Receive and Process Vessel Activity Reports
  • Facilitation of Enforcement
  • Receive and Process Foreign Fisheries Data
  • Creation of Enforcement Reports

Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on the candidates' depth of experience. There are fulltime and part time positions available. AIS benefits package for full time positions includes health and dental insurance, vacation, sick and holiday benefits.
Minimum Qualifications:
  • High school diploma or GED
  • Proven ability to work independently with minimal supervision.
  • Strong attention to detail and accuracy in data entry.
  • Proficiency with Microsoft Office Suite, especially Excel.
  • Excellent verbal and written communication skills.
  • Experience in a customer support or data processing environment.

Preferred Qualifications:
  • College coursework or degree.
  • Experience in fisheries, regulatory compliance, or a government contract setting.
  • Familiarity with web-based databases and technical support scripts.
  • Ability to manage multiple high-priority tasks simultaneously.

Travel:
  • No expected travel.

Location:
  • Anchorage, AK

Schedule:
Applicants will be assigned to a set schedule; however, due to the dynamic nature of the fisheries and the need for year-round, seven-day-a-week coverage-including during the busy IFQ and crab seasons-they may occasionally be asked to work alternative shifts. The call center operates daily from 6:00 AM to midnight Alaska time, and coverage must be maintained throughout the year. Flexibility and a willingness to adapt to changing schedules are essential, especially during peak fishing periods when shift overlap and extended hours may be required.
Contact:
If you would like to apply for this exciting new opening, please click the following link http://aisobservers.com/careers/ to submit the required information:
  • Resume
  • Cover letter detailing call center experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please feel free to contact the Talent Acquisition Team at talentacquisitionteam@aisobservers.com or 508-990-9054.
An Equal Opportunity Employer
It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.
Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer