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Unsupervised Jobs in Texas (NOW HIRING)

Data Engineer- PySpark/Apache Flink

Irving, TX · On-site

$109.90K - $132K/yr

... unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS ...

Senior Machine Learning Engineer

Texas City, TX · On-site +1

$89.40K - $122.80K/yr

Implement supervised, unsupervised, deep learning, and reinforcement learning techniques. * Ensure reliability, scalability, and performance of ML systems. * Collaborate with cross-functional teams ...

Craftsman- Dallas

Dallas, TX

$1.50K - $1.80K/wk

Work in our customers homes unsupervised * Have a great attitude * Have your own tools * Have a valid Driver's License * Have a reliable truck or van * MUST pass a background check Can you remodel a ...

Work in our customers homes unsupervised * Have a great attitude * Have your own tools * Have a valid Driver's License * Have a reliable truck or van * MUST pass a background check Can you remodel a ...

Host/Hostess

Bellaire, TX · On-site

$13 - $15/hr

Performs high-quality work while unsupervised. * Able to work in a standing position for long periods of time. * Willing to follow instructions and ask questions for clarification if needed. * You ...

Solid understanding of supervised + unsupervised learning algorithms and concepts. * Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised ...

Performs high-quality work while unsupervised. * Able to work in a standing position for long periods of time. * Willing to follow instructions and ask questions for clarification if needed. * You ...

Company Description Must be a dependable self-starter, able to work unsupervised in a fast-paced, outdoor environment. Preferably has experience with measuring tools, drafting and a Utility or ...

Company Description Must be a dependable self-starter, able to work unsupervised in a fast-paced, outdoor environment. Preferably has experience with measuring tools, drafting and a Utility or ...

Wok Cook

Dallas, TX

$15.50 - $19.50/hr

Able to work unsupervised for extensive periods, and to demonstrate good judgment when cleaning and organizing kitchen. * Ability to adapt to changing priorities and unexpected situations. * Ability ...

Wok Cook

Dallas, TX · On-site

$15.50 - $19.50/hr

Able to work unsupervised for extensive periods, and to demonstrate good judgment when cleaning and organizing kitchen. * Ability to adapt to changing priorities and unexpected situations. * Ability ...

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Unsupervised information

See Texas salary details

$11

$16

$25

How much do unsupervised jobs pay per hour?

As of May 28, 2026, the average hourly pay for unsupervised in Texas is $16.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $17.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Unsupervised Machine Learning Engineer, and why are they important?

To thrive as an Unsupervised Machine Learning Engineer, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree and experience in data analysis. Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, and proficiency in programming languages like Python or R, are typically required. Analytical thinking, problem-solving, and effective communication skills help you translate complex data insights into actionable business strategies. These skills are crucial to designing and implementing algorithms that uncover hidden patterns in data, driving innovation and informed decision-making.

What are some common challenges faced by professionals working in unsupervised machine learning roles?

Professionals in unsupervised machine learning roles often face the challenge of working with unlabeled data, which requires creative approaches to data exploration and feature engineering. Interpreting the results of clustering or dimensionality reduction algorithms can be complex, as there isn't always a clear ground truth for validation. Additionally, collaborating with domain experts is essential to ensure that insights derived from unsupervised models are meaningful and actionable for the business.

What are unsupervised learning jobs?

Unsupervised learning jobs typically refer to roles that involve working with machine learning algorithms that identify patterns in data without using labeled outcomes. Professionals in this field design and implement models to analyze large datasets, uncover hidden structures, and generate insights without explicit instructions. These roles are common in data science, artificial intelligence, and research, often involving clustering, anomaly detection, and dimensionality reduction. Unsupervised learning is valuable for discovering unknown correlations and organizing data in meaningful ways.

What is the difference between Unsupervised vs Data Analyst?

AspectUnsupervisedData Analyst
Required CredentialsTypically a degree in data science, statistics, or related field; knowledge of machine learningDegree in statistics, mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, consulting firms, corporate departments
Industry UsageMachine learning, AI, data mining projectsBusiness intelligence, reporting, data interpretation
Common Search & ComparisonUnsupervised learning vs Data analysis

Unsupervised roles focus on machine learning techniques like clustering and dimensionality reduction, often requiring programming and statistical skills. Data Analysts primarily interpret data to inform business decisions, emphasizing visualization and reporting. While both work with data, their methods, tools, and objectives differ significantly.

Infographic showing various Unsupervised job openings in Texas as of May 2026, with employment types broken down into 1% Internship, 73% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $34,202 per year, or $16.4 per hour.
Data Engineer- PySpark/Apache Flink

Data Engineer- PySpark/Apache Flink

Diverse Lynx

Irving, TX • On-site

$109.90K - $132K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineer- PySpark/Apache Flink
Skills: Digital : Python for Data Science~5G Wireless Networks Experience Required: 8-10
Role Descriptions: Data Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systems Essential Skills: Data Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systems Desirable Skills:


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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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