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Online Data Science Jobs in Alaska (NOW HIRING)

Data Engineer

Anchorage, AK ยท 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 ...

Data Engineer

Juneau, AK ยท 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 ...

Ingest and reconcile data from multiple dental clinic EMRs , Sage ERP/Finance system , and other operational sources. * Design and publish Power BI dashboards for: * Revenue cycle management (R30/60 ...

Data Analyst I Hiring Range $67,080.00 to $89,433.07 Data Analyst II Hiring Range $76,793.60 to $102,391.47 Summary of Job Responsibilities: The Southcentral Foundation (SCF) Data Analyst is ...

$7.25 - $55/hr

... online digital humanities relational database and improve data integrity. The Developer will be ... Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and ...

BVT Analyst_07/04/2026_Edit

Anchorage, AK ยท On-site

$89 - $159/hr

Tech in Computer Science or IT (Required) - M.Tech / MCA in Software Engineering (Preferred ... Online Coding Assessment (DSA + Java) Step 2 --> Technical Interview (Core Java + System Design ...

Manages subcontracting and subcontracting data to ensure timely delivery of analytical reports to ... Bachelor's degree in Environmental Science, Biology, Chemistry, or a related field and 1 to 2 years ...

Showing results 21-40

Online Data Science information

See Alaska salary details

$6

$43

$96

How much do online data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for online data science in Alaska is $43.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.91 and $63.42 per hour, depending on experience, location, and employer.

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many roles require proficiency in tools like Python, R, and SQL, and a strong understanding of data analysis and visualization. Remote data science positions are available across various industries and typically require a relevant degree or experience.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require on-site collaboration or access to specific hardware or data security protocols.

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 cities in Alaska are hiring for Online Data Science jobs?

Cities in Alaska with the most Online Data Science job openings:

Infographic showing various Online Data Science job openings in Alaska as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $89,442 per year, or $43 per hour.

Data Engineer

Bespoke Labs

Anchorage, AK โ€ข On-site

$117K - $140K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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 trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments โ€” and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience โ€” pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure โ€” observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines