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Remote Data Mining Jobs (NOW HIRING)

Velera Health

Data Scientist I - Remote

$84K - $108K/yr

Perform data mining and analysis from various databases to build solutions for optimizing product ... Through a remote-first, flexible environment, we prioritize psychological safety, wellbeing and ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Experience with text analytics, data mining and social media analytics. * Statistical knowledge in ...

Easy Recruiter

Senior Data Analyst (Remote)

Manhattan, NY · Remote

$94K - $119K/yr

OverviewAbout the job Senior Data Analyst (Remote)As amember of the Infrastructure Engineering and ... data mining to enable teams to improve on process best practicesEstablish process standards to ...

PatientPoint

REMOTE - Data Scientist

$101K - $175K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data ...

Perfict

Data Scientist

The Data Scientist will support data science and analytics efforts, develop SQL queries and data ... GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. • ...

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How much do remote data mining jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote data mining in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Remote Data Mining job?

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 are the key skills and qualifications needed to thrive in the Remote Data Mining position, and why are they important?

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 some 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.

More about Remote Data Mining jobs
What cities are hiring for Remote Data Mining jobs? Cities with the most Remote Data Mining job openings:
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
What states have the most Remote Data Mining jobs? States with the most job openings for Remote Data Mining jobs include:
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Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Staff TLM, Data Mining and Sampling for ML and Evaluation

Senior Staff TLM, Data Mining and Sampling for ML and Evaluation

Waymo

Manhattan, NY • On-site, Remote

$281K - $356K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager.

You will:

  • Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data
  • Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets
  • Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities
  • Make hands-on technical contributions to both engineering and data science-oriented projects
  • Provide strong management and technical leadership for a small team of data science-friendly engineers
  • Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend

You have:

  • Strong engineering design and programming skills
  • Strong data fluency and analysis skills
  • Familiarity with statistical methods including hypothesis testing, experiment design, and sampling
  • Familiarity with foundational and contemporary ML concepts and practices
  • Experience managing teams of up to 8 people
  • BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area
  • 7+ years of industry experience with:
    • C++, SQL, and Python experience
    • Navigating and modifying a large code base containing C++, SQL, and Python
    • Building data processing pipelines

We prefer:

  • Eval experience, such as building and validating metrics to measure quality in complex systems
  • Strong statistical background (MSc-level stats or similar expertise from work experience)
  • Strong ML background (MSc-level ML or similar expertise from work experience)
  • Experience working in the AV industry and/or with simulations

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$281,000—$356,000 USD

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