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Remote Data Mining Jobs in Austin, TX (NOW HIRING)

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that

PTP

Data Analyst - REMOTE

Austin, TX · On-site +1

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Data Analyst to help us design and deliver CX solutions that

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

About Virtasant Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure,

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS! Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last

Delan Associates, Inc.

Business Data Analyst

Austin, TX · On-site +1

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC •

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Austin, TX

Remote Data Mining information

See Austin, TX salary details

$45.6K

$163.6K

$241.4K

How much do remote data mining jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data mining in Austin, TX is $163,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 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.

How do I 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 a degree in a related field, can improve your prospects for remote work in this role.

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.

What are the most commonly searched types of Data Mining jobs in Austin, TX? The most popular types of Data Mining jobs in Austin, TX are:
What are popular job titles related to Remote Data Mining jobs in Austin, TX? For Remote Data Mining jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Austin, TX look for? The top searched job categories for Remote Data Mining jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Mining jobs? Cities near Austin, TX with the most Remote Data Mining job openings:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,567 per year, or $78.6 per hour.

Data Scientist (Remote)

Victory

Austin, TX • Remote

Full-time

Re-posted 21 days ago

Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:

  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:

  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen