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Remote Data Scientist Jobs in Idaho (NOW HIRING)

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Idaho

Remote Data Scientist information

See Idaho salary details

$35.3K

$115.5K

$184.9K

How much do remote data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data scientist in Idaho is $115,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Idaho?

The most popular types of Data Scientist jobs in Idaho are:

What are popular job titles related to Remote Data Scientist jobs in Idaho?

For Remote Data Scientist jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Idaho look for?

The top searched job categories for Remote Data Scientist jobs in Idaho are:

What cities in Idaho are hiring for Remote Data Scientist jobs?

Cities in Idaho with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Idaho as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $115,484 per year, or $55.5 per hour.

Cyber Analyst current L, Q or TS mandatory REMOTE

United Global Technologies

Idaho Falls, ID • Remote

Full-time

Posted 27 days ago

Job description

Must have an active, not current, DOE L, Q or TS and above to be qualified

REMOTE

Qualifying individual must have a current “L” or “Q” clearance OR Top Secret

Qualifying individual “MUST” have the following skillsets:
  • Deep expertise in Splunk SPL, including advanced search commands, statistical functions, data models, and performance optimization
  • Hands-on experience with Splunk Enterprise Security, including correlation searches, risk-based alerting (RBA), notable events, and the ES framework
  • Working knowledge of the Splunk AI Toolkit (AITK) for building and applying ML-based detections
  • Experience with the Splunk App for Data Science and Deep Learning (DSDL), including custom model development and deployment
  • Strong understanding of the MITRE ATT&CK framework and detection engineering methodology
  • Familiarity with common attack techniques, log sources, and security data (EDR, network, cloud, identity, etc.)

4. Qualifying individual “NICE” to have the following skillsets:

  • Experience with detection-as-code practices and tools (Git, CI/CD pipelines)
  • Proficiency in Python for data processing and model development
  • Knowledge of SOAR platforms and detection automation
  • Relevant certifications (Splunk Certified Power User/Admin, Splunk Enterprise Security Certified Admin, GIAC, etc.)
  • Prior experience in a SOC, threat hunting, or incident response role

In this role, the selected candidate will design, build, and tune detections that identify malicious activity across our environment, working at the intersection of security analysis, data engineering, and machine learning. We're looking for a candidate that lives and breathes Splunk and gets excited about turning raw telemetry into high-fidelity alerts, we want to hear from you.

What the candidate is expected to perform:

  • Design, develop, and maintain detection content using Splunk Search Processing Language (SPL) to identify threats across diverse data sources
  • Build and tune correlation searches, notable events, and risk-based alerting within Splunk Enterprise Security (ES)
  • Leverage the Splunk App for Data Science and Deep Learning (DSDL) to develop machine learning models for anomaly detection and advanced threat identification
  • Apply the Splunk App for Anomaly Detection and the Splunk AI Toolkit (AITK) to develop statistical and ML-driven detections that go beyond signature-based approaches
  • Map detection coverage to the MITRE ATT&CK framework and identify gaps in visibility
  • Collaborate with threat intelligence, incident response, and SOC teams to translate emerging threats into actionable detections
  • Reduce false positives and alert fatigue through continuous tuning and detection lifecycle management
  • Develop and maintain detection-as-code workflows, including version control, testing, and CI/CD for detection content
  • Create documentation, runbooks, and detection specifications to support downstream analysts