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Remote Data Mining Jobs in Texas (NOW HIRING)

Victory

Data Scientist

Austin, TX · On-site +1

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Huntington National Bank

Proven analytical ability (data mining/manipulation, forecasting) * Must have the appropriate ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Publicis Groupe Holdings B.V

Senior Data Analyst

Irving, TX · Remote

$79K - $100K/yr

... mining using Pandas. 11. Create Tableau dashboards using filters, sets/groups, parameters, and calculated fields. 12. Implement data blending and create dual axis graphs with multiple measures in ...

Aggreko

Business Performance Lead

Pearland, TX · Remote

Work in a local service center or remote * Competitive compensation and bonus structure * No ... Data mining, analyzation of data to reinforce pricing decisions. * Accountable for validating ...

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All JobsRemote Data Mining JobsRemote Data Mining Jobs in Texas

Remote Data Mining information

What careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

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.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are the most commonly searched types of Data Mining jobs in Texas? The most popular types of Data Mining jobs in Texas are:
What are popular job titles related to Remote Data Mining jobs in Texas? For Remote Data Mining jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Texas look for? The top searched job categories for Remote Data Mining jobs in Texas are:
What cities in Texas are hiring for Remote Data Mining jobs? Cities in Texas with the most Remote Data Mining job openings:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

Victory

Austin, TX • On-site, Remote

Full-time

Posted 12 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

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