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Data Scientist Jobs in Alaska (NOW HIRING)

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Data Scientist information

See Alaska salary details

$40.4K

$132.2K

$211.6K

How much do data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for 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 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles 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 employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
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 Data Scientist jobs in Alaska? For Data Scientist jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Alaska look for? The top searched job categories for Data Scientist jobs in Alaska are:
What cities in Alaska are hiring for Data Scientist jobs? Cities in Alaska with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in AK? For Data Scientist jobs in AK, the most frequently searched job titles are:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Alaska as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,182 per year, or $63.5 per hour.

Data Scientist (Fairbanks)

The Wilson Group KW23

Fairbanks, AK • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Regarding decisions, inspiring creativity, and driving development, we really believe in the power of data. By means of modern data analytics, we streamline mountains of data and derive insightful conclusions, therefore confirming our leadership in [industry]. We are looking for a Data Scientist that is passionate and competent to join our team and help us to uncover trends, solve difficult problems, and guide our strategy with data-driven decisions.

Responsibilities
  • Identify problems the business faces, compile pertinent information, and create models to solve those problems and raise performance.
  • Analyze large data sets to discover trends, patterns, and linkages.
  • Develop and run statistical models, machine learning methods, and predictive analytics.
  • Create data-driven solutions and experiments (A/B testing).
  • Collaborate with analysts and engineers to strengthen data pipelines and frameworks.
  • Visualize insights with clear and compelling visualizations.
  • Create and update dashboards to monitor key corporate data points.
  • Maintain data correctness, quality, and integrity.
  • Keep up to date with latest methods and techniques.
Qualifications
  • Permanent residents or legal citizens from the United States.
  • Strong background in mathematics, statistics, data science, computer science, or related field (Master’s or Ph.D. advised).
  • Three years or more of relevant employment experience as a data scientist or similar, with body of work to highlight.
  • Knowledge of SQL, R, or Python; experience with large data systems like Hadoop or Spark is a benefit.
  • Competent in applying several machine learning models and libraries like Keras, TensorFlow, and scikit-learn.
  • Strong grasp of statistics, data visualization techniques, and experimental design.
  • Mastery of large data collections, data cleansing and transformation, and data wrangling.
  • Excellent written and verbal communication; proficient in explaining results to lay and expert audiences.
  • Experience with cloud platforms (AWS, GCP, Azure) is a benefit.
Benefits
  • Work flexible hours from anywhere.
  • Competitive pay scale and benefits package.
  • Opportunity to develop skills and advance professionally.
  • Workplace norms supporting diversity, innovation, and teamwork.
  • Chance to support creative, practically significant data science projects.
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