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Full Time Pattern Recognition Jobs (NOW HIRING)

Recovery Consultants

$30 - $50/hr

This role requires leadership, pattern recognition, and confident communication. Key ... Employment Type: Full Time Years Experience: 3 - 5 years Salary: $30 - $50 Hourly Bonus/Commission:

University of Utah

Data / Reporting Analysts

Campus, IL · On-site

$68K - $78K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... Apply pattern recognition methodologies across multi-touch user journeys, enrollment/conversion ...

University of Utah

Data / Reporting Analysts

Campus, IL

$68K - $78K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... Apply pattern recognition methodologies across multi-touch user journeys, enrollment/conversion ...

University of Utah

Data / Reporting Analysts

Campus, IL

$68K - $78K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... Apply pattern recognition methodologies across multi-touch user journeys, enrollment/conversion ...

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Full Time Pattern Recognition information

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$33.5K

$77.4K

$126K

How much do full time pattern recognition jobs pay per year?

As of Sep 11, 2026, the average yearly pay for full time pattern recognition in the United States is $77,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a full time pattern recognition job?

A full time pattern recognition job involves working with data to identify patterns, trends, or structures, often using techniques from machine learning, statistics, and artificial intelligence. Professionals in this field develop algorithms and models that enable computers to recognize patterns in images, sounds, or other forms of data, which can be applied in areas like speech recognition, image analysis, and fraud detection. These roles typically require strong analytical skills, proficiency in programming languages such as Python or R, and a solid understanding of mathematical concepts. Full time positions may be found in industries like technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as a pattern recognition specialist?

To thrive as a Pattern Recognition Specialist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), statistical analysis tools, and programming languages like Python or R is typically required. Analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for interpreting complex data and developing effective algorithms. These skills and qualities are essential for identifying meaningful patterns in large datasets, driving innovation, and supporting data-driven decision-making.

What are some common challenges faced by professionals in full time pattern recognition roles, and how can they be addressed?

Professionals in full-time pattern recognition roles often encounter challenges such as dealing with large, complex datasets, ensuring data quality, and keeping up with rapidly evolving algorithms and technologies. Overcoming these challenges typically involves continuous learning, collaborating closely with data engineers and domain experts, and utilizing robust validation and testing strategies to ensure model accuracy. Additionally, effective communication with stakeholders is essential to translate technical findings into actionable insights.

What is the difference between Full Time Pattern Recognition vs Full Time Data Analyst?

AspectFull Time Pattern RecognitionFull Time Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; experience with machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness intelligence, finance, marketing departments
Industry UsageAI, machine learning, pattern detection projectsData interpretation, reporting, decision support

Full Time Pattern Recognition specialists focus on developing algorithms to identify patterns in data, often involving machine learning and AI. In contrast, Full Time Data Analysts interpret data sets to generate insights for business decisions. While both roles require analytical skills and familiarity with data tools, pattern recognition emphasizes algorithm development, whereas data analysis centers on data interpretation and reporting.

What jobs are good for full time pattern recognition?

Full time pattern recognition skills are valuable in roles such as data analysts, machine learning engineers, computer vision specialists, and cybersecurity analysts. These jobs often require strong analytical abilities, knowledge of algorithms, and experience with tools like Python, MATLAB, or specialized software to identify trends, anomalies, or patterns in large datasets or systems.
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Full Time Pattern Recognition jobs near you
Infographic showing various Full Time Pattern Recognition job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $77,376 per year, or $37.2 per hour.

Electro Neuro Tech/Full-Time/Atrium Medical Center

Middletown, OH • On-site

Premier Health
See more jobs at Premier Healthexternal

$23.50 - $30/hr

Full-time

Re-posted 3 hours ago

Job description

Independently performs neurodiagnostic procedures including both routine & long-term electroencephalograms (EEGs) and all modalities of evoked potential procedures under their scope of practice. Is knowledgeable in correct EEG, long-term monitoring (LTM), continuous (CEEG)/ICU monitoring, and evoked potential (EP) performance and recognition of clinically significant events and follows the facility's policy and procedures. Exercises professional judgement in the performance of exams and communicates effectively with the neurologist and other staff members.

May have on call responsibilities. Education Education Required: High School completion / GED Additional requirements: Preferred educational qualifications: Associate degree Licensure/Certification/Registration: CPR Certification required R.EEG.T board-eligible R.EP.T board-eligible Experience Experience Required: No prior job-related work experience Preferred experience: Two years of experience in Electroencephalograms (EEG) and Evoked Potentials, (EP) Knowledge/Skills -Electrode application -Pattern recognition -Correlates patient history and clinical symptoms -Neuroanatomy and neurophysiology -Proficient in Electronic Medical Record (EMR)

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