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Remote Data Mining Jobs in Durham, NC (NOW HIRING)

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

... mining techniques, etc. * Experience with most or all of the following basic data science tools ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Responsibilities Conduct advanced web research and data mining using multiple tools to locate and ... Fully remote role: laptop, stable internet connection, and time availability required. Flexibility ...

New

Responsibilities Conduct advanced web research and data mining using multiple tools to locate and ... Fully remote role: laptop, stable internet connection, and time availability required. Flexibility ...

New

Business Process Analyst

Cary, NC · Remote

$68K - $109K/yr

S. #LI-Remote Your role and responsibilities: * SAP Data Mining and Business Warehouse reporting * Providing business analysis, supplying technical and business process / data expertise, and ...

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data ...

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data ...

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Showing results 1-20

Remote Data Mining information

See Durham, NC salary details

$44.5K

$159.5K

$235.3K

How much do remote data mining jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote data mining in Durham, NC is $159,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $164,300.00 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 job categories do people searching Remote Data Mining jobs in Durham, NC look for?

The top searched job categories for Remote Data Mining jobs in Durham, NC are:

What cities near Durham, NC are hiring for Remote Data Mining jobs?

Cities near Durham, NC with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining job openings in Durham, NC as of August 2026, with employment types broken down into 2% Internship, 74% Full Time, 11% Part Time, 2% Temporary, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $159,458 per year, or $76.7 per hour.

Principal Data Scientist

Redhat

Raleigh, NC • On-site, Remote

$147K - $243K/yr

Full-time

Re-posted 23 days ago


Job description

*Telecommuting role to be performed anywhere in the U.S.

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.

What You Will Do:

  • Participate in end-to-end development, from requirements gathering to validation and implementation.
  • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
  • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
  • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.

#LI-DNI

The salary range for this position is $147,470 - $243,350/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.