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Remote Data Mining Jobs in Boise, ID (NOW HIRING)

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Simplot

Seed Enablement Lead, Southeast

Boise, ID · Remote

... mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises ... Remote within Gerogia, North Carolina, South Carolina, and Florida. Key Responsibilities * Develop ...

Simplot

Seed Enablement Lead, West Texas

Boise, ID · Remote

... mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises ... Remote within Texas Key Responsibilities * Develop and execute localized seed strategies that ...

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Remote Data Mining information

See Boise, ID salary details

$43.8K

$157.1K

$231.8K

How much do remote data mining jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data mining in Boise, ID is $157,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,100.00 and $161,800.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

What are the most commonly searched types of Data Mining jobs in Boise, ID?

The most popular types of Data Mining jobs in Boise, ID are:

What are popular job titles related to Remote Data Mining jobs in Boise, ID?

For Remote Data Mining jobs in Boise, ID, the most frequently searched job titles are:

What job categories do people searching Remote Data Mining jobs in Boise, ID look for?

The top searched job categories for Remote Data Mining jobs in Boise, ID are:

Remote Data Mining jobs near you

Data Analyst V

H R PUNDITS INC

Boise, ID • Remote

$130K/yr

Full-time

Re-posted 20 days ago

Job description

Data Analyst V
Location: USA Remote 
Responsibilities
  • Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
  • Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
  • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
  • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
  • Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
  • Advocate for customers and influence corrective actions
Please submit 10+ years profiles only
 
Must Have
1 Very technical with marketing background
2 Customer segmentation for marketing
3 Customer support
4 Comfortable with temporary tables in SQL
5 Strong skills in Python Pandas and data structures
6 Experience with data modeling (regression, NLP).

This is a remote position.