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Data Science Jobs in Alaska (NOW HIRING)

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Resource Data is a company that designs and builds innovative technology solutions for complex ... Required : • Bachelor's degree in Computer Science, Information Systems, Engineering, or related ...

Data Engineer

Fairbanks, AK · On-site

$114K - $137K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Juneau, AK · On-site

$121K - $145K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Anchorage, AK · On-site

$117K - $140K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Field Support Technician - UIC Science

Barrow, AK · Remote

$24.50 - $33.75/hr

The Field Support Technician will assist with preparing, transporting, and maintaining field equipment; collecting samples and data; and supporting logistics for scientific projects. Responsibilities ...

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Data Science information

See Alaska salary details

$40.4K

$132.2K

$211.6K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
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 Data Science jobs in Alaska? For Data Science jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Alaska look for? The top searched job categories for Data Science jobs in Alaska are:
What cities in Alaska are hiring for Data Science jobs? Cities in Alaska with the most Data Science job openings:
ALASKA RIG MECHANIC

Full-time

Re-posted 18 days ago


Nabors Industries rating

6.7

Company rating: 6.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

44th of 75 rated oil and gas companies


Job description


Location: Prudhoe Bay, Alaska
Rotation: 14x14 or 21x21 (days or nights, including weekends and holidays)
Responsibilities
  • Ensures the regular preventative maintenance activities for the mechanical components of the rig are accomplished.
  • Installs, repairs, and tests all mechanical equipment at the rig site.
  • Conducts safety inspections of all major pieces of equipment, making repairs, adjustments, and calibrations as required.
  • Ensures that an adequate amount of spare parts are on hand at all times.
  • Submits requisitions as needed.
  • Participates in rig down and rig up activities to ensure proper disconnect, transportation, and connection of mechanical equipment.
  • Ability to perform essential functions of this position with or without reasonable accommodations.

Qualifications
  • 1-2 years experience as a Rig Mechanic.
  • Ability to wear respiratory protective devices.
  • Must have reliable transportation to and from the worksite.
  • High school diploma or equivalent.
  • Knowledge and experience in maintaining and repairing various types of diesel engines and mechanical devices.
  • Repetitively bend, stoop, kneel, twist, and crawl, often while in Personal Protective Equipment (PPE).
  • Ability to work outdoors in extreme Arctic conditions, including subzero temperatures, snow, and ice.
  • Must be able to understand and follow both verbal and written instructions.
  • Must pass all required pre-employment and site-specific drug and fitness-for-duty testing.
  • Must possess a valid Driver's License - Real ID compliant, suitable for travel to Alaska and the North Slope.

About Us
Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.

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