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Data Science Jobs in Alaska (NOW HIRING)

York Risk Services

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share ...

Sedgwick

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share ...

Sedgwick

Data Engineer AI

Minto, AK · On-site +1

$118K - $142K/yr

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and ...

Sedgwick

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

Data Science Engineering: Support the data science lifecycle by automating feature stores, feature engineering pipelines, and the transition of experimental notebooks into hardened production ...

York Risk Services

Senior Engineer - LLMOps & MLOps

Minto, AK · On-site +1

$108K - $148K/yr

Data Science Engineering: Support the data science lifecycle by automating feature stores, feature engineering pipelines, and the transition of experimental notebooks into hardened production ...

Tetra Tech

Data Coordinator

Anchorage, AK

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 ...

Tetra Tech, Inc.

Data Coordinator

Anchorage, AK · On-site

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 ...

Kodiak Community Health Center

Data Analyst

Kodiak, AK · On-site

$22 - $25/hr

Associates or Bachelor's degree in Mathematics, Computer Science, Statistics, Business, or related topic highly desired. Experience: Minimum 2 years' experience as a data analyst or a similar ...

FocusKPI

Marketing Operations Analyst

Fairbanks, AK · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Juneau, AK · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Marketing Operations Analyst

Anchorage, AK · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

FocusKPI

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

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Showing results 1-20

All JobsData Science JobsData Science Jobs in Alaska

Data Science information

See Alaska salary details

$40.4K

$132.2K

$211.6K

How much do data science jobs pay per year?

As of Aug 1, 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.
More about Data Science jobs
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:
Data Science jobs near you
Infographic showing various 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 $132,182 per year, or $63.5 per hour.

AI Data Scientist Sr.

York Risk Services

Minto, AK • On-site

$120K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

AI Data Scientist Sr.

PRIMARY PURPOSE OF THE ROLE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.

ESSENTIAL RESPONSIBILITIES MAY INCLUDE

  • Builds, prototypes, and deploys machine learning models in production environments.
  • Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
  • Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders.
  • Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources.
  • Explores new internal and external data sources and assesses their commercial benefit.
  • Mentors team members and serves as a subject matter expert in cross-functional discussions.

QUALIFICATIONS

Master's degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.


Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural language processing and healthcare data preferred.

Skills & Knowledge

  • Proficiency writing code in Python or R and documenting for reproducibility
  • Strong knowledge of reviewing other's models and code
  • Ability to use data visualization tools and libraries
  • Strong data exploration, data wrangling and feature engineering skills
  • Knowledge of application of supervised/unsupervised ML techniques
  • Thorough knowledge of SQL to query relational databases
  • Excellent oral and written communication skills, including presentation skills
  • PC literate, including Microsoft Office products
  • Analytical and interpretive skills
  • Strong organizational skills
  • Ability to create and complete comprehensive, accurate and constructive written reports
  • Ability to work in a team environment
  • Ability to meet or exceed Performance Competencies

As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is ($120,000 - $160,000 USD annually). A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. Always accepting applications.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Diego Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, the California Fair Chance Act, and all other applicable laws.

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
About Us

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Diego Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, the California Fair Chance Act, and all other applicable laws.

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Apply