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Remote Data Mining Jobs in Texas (NOW HIRING)

Diligent Tec, Inc.

Data Engineer (Machine Learning)

Austin, TX · Remote

$113.50K - $136.30K/yr

Data Engineer (Machine Learning) Location: 100% Remote Duration: Long Term Contract (2+ years) Role ... data mining, segmentation Data visualization experience (Tableau/Kibana) is a plus Skills: ML ...

Insolation Technology LTD

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Arsenault

Data Analyst - Remote

Houston, TX · Remote

Experience in data mining techniques and procedures and ability to apply these techniques appropriately. Ability to present complex information in an understandable and compelling manner. Ability to ...

PNC Bank

Fraud Model Analyst

Farmers Branch, TX · On-site +1

$45K - $103.50K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... Participates in the data gathering, data processing and data mining of large and complex datasets.

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 ...

Booz Allen Hamilton, Inc.

Data Scientist

San Antonio, TX · On-site +1

$77.50K - $176K/yr

Remote Work: Yes Job Number: R0233287 Location: San Antonio,TX,US Share job via: Share Data ... Knowledge of text mining or machine learning techniques * Ability to obtain and maintain a Public ...

Zantech

Data Analyst

San Antonio, TX · On-site +1

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Zantech

Data Analyst

San Antonio, TX · Remote

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Avride

Software Research Engineer (ML)

Austin, TX · On-site +1

$203.10K/yr

You will design algorithms and tools for auto-labeling, data mining and dataset monitoring ... The employer is not offering relocation sponsorship, and remote work options are not available.

Charter Global

Data Scientist

Dallas, TX · Remote

... remote resources to get the job done - consistently Title: Data Scientist Location: Atlanta, GA ... Design data mining solutions to be implemented and executed with alignment to the planned scope and ...

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Remote Data Mining information

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 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 May 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Contract. Highlights an 52% Physical, 10% Hybrid, and 38% Remote job distribution.

Data Engineer (Machine Learning)

Diligent Tec, Inc.

Austin, TX • Remote

$113.50K - $136.30K/yr

Other

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

Job description

Overview:
Role: Data Engineer (Machine Learning)
Location: 100% Remote
Duration: Long Term Contract (2+ years)
Role Overview
The team builds data and machine learning services for advertiser sellers, helping them optimize ad budgets and campaign goals by recommending the right inventory, keywords, budgets, and bids, and continuously improving campaign performance. This is a high-growth area with strong business impact and involves working with massive datasets and applied data science techniques.
Key Responsibilities
Collaborate with Applied Researchers, Engineers, Analytics, and cross-functional teams to deliver end-to-end production-ready solutions
Design and implement scalable data pipelines to collect, process, and analyze large datasets
Integrate and deploy ML models into production systems
Perform deep data analysis to identify trends, interpret experimentation, and size opportunities in the advertising domain
Translate complex datasets into clear, actionable recommendations for both technical and non-technical stakeholders
Build dashboards to monitor system and business performance
Must-Have Skills
Building data pipelines and dashboards
Implementing and deploying ML models
Strong dataset analysis and ability to provide actionable insights
Excellent communication skills and ability to work with business partners across all levels
Active participation in team discussions and solutioning
Requirements
BS/MS in Computer Science or equivalent experience
Experience with big data tools: Spark, Hadoop
Strong knowledge of databases: SQL, NoSQL
Good understanding of machine learning applications
Strong programming skills: SQL, Python, Scala, or Java
Experience solving data science problems and deploying models into production for evaluation
Strong analytical skills in large dataset analysis, data mining, segmentation
Data visualization experience (Tableau/Kibana) is a plus
Skills:
ML,PYTHON,SCALA,TABLEAU

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