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Entry Level Pattern Recognition Jobs (NOW HIRING)

Elutions

Domain Engineer

Arlington, VA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier ...

Sidecar

Software Engineer - Fraud

San Francisco, CA

Strong engineering background coupled with experience around machine learning, pattern recognition, etc. * Code using primarily Python, Nodejs and PHP. * Work closely with other engineers on the team ...

Omnicom

Analyst, Business Analytics

New York, NY · On-site

This level may include individuals in entry level roles, typically graduates. Extracts actionable ... pattern recognition, and AI/advanced analytics tools-to generate insights that improve business ...

Omnicom

Analyst, Business Analytics

New York, NY · Hybrid

This level may include individuals in entry level roles, typically graduates. Extracts actionable ... pattern recognition, and AI/advanced analytics tools-to generate insights that improve business ...

Elutions

Domain Engineer

Tampa, FL · On-site

... ** Entry Level Candidates are Encouraged to Apply!!!** General Responsibilities: * Conduct ... Apply data pattern recognition techniques and energy optimization methodologies to support ...

Elutions

Domain Engineer

Tampa, FL

... ** Entry Level Candidates are Encouraged to Apply!!!** General Responsibilities: * Conduct ... Apply data pattern recognition techniques and energy optimization methodologies to support ...

Elutions

Domain Engineer

Tampa, FL · On-site

... ** Entry Level Candidates are Encouraged to Apply!!!** General Responsibilities: * Conduct ... Apply data pattern recognition techniques and energy optimization methodologies to support ...

University of Utah

Data Scientists

Campus, IL

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... to recognize patterns, identify opportunities, pose business questions, and make valuable ...

University of Utah

Data Scientists

Campus, IL

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... to recognize patterns, identify opportunities, pose business questions, and make valuable ...

University of Utah

Data Scientists

Campus, IL · On-site

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... to recognize patterns, identify opportunities, pose business questions, and make valuable ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

... - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per ... to recognize patterns, identify opportunities, pose business questions, and make valuable ...

Milkshake Cooperative

Be Seen First

Entry-level Skilled Trade Apprenticeship

Providence, RI · On-site

$18/hr

READ DESCRIPTION BEFORE APPLYING Overview Full-time entry-level apprenticeship for starting career ... I suggest you not use ChatGPT as its speech patterns are recognizable and will place doubt on your ...

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Entry Level Pattern Recognition information

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$29.5K

$48.8K

$61.5K

How much do entry level pattern recognition jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level pattern recognition in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What is an entry level pattern recognition?

An entry level pattern recognition job typically involves analyzing data to identify patterns, trends, and anomalies using statistical and computational techniques. Individuals in this role may work with images, text, audio, or numerical data, applying algorithms to extract meaningful insights. These positions often require a foundational understanding of machine learning, data preprocessing, and basic programming skills. Entry level pattern recognition specialists support senior team members in building models, preparing datasets, and interpreting results to help solve real-world problems.

What are some common challenges faced by entry level pattern recognition professionals, and how can they overcome them?

Entry-level professionals in pattern recognition often encounter challenges such as working with noisy or incomplete datasets, selecting appropriate algorithms, and ensuring their models generalize well to new data. To overcome these hurdles, it's important to develop strong foundational knowledge in data preprocessing, stay updated with the latest research, and seek feedback from more experienced team members. Collaborating closely with data scientists and engineers can also provide valuable insights and accelerate problem-solving.

What are the key skills and qualifications needed to thrive as an entry level pattern recognition specialist, and why are they important?

To thrive as an Entry Level Pattern Recognition Specialist, you need foundational knowledge in mathematics, statistics, and computer science, often supported by a relevant degree or coursework. Familiarity with programming languages such as Python, machine learning libraries like scikit-learn or TensorFlow, and data analysis tools is typically required. Attention to detail, analytical thinking, and strong problem-solving skills help individuals excel in identifying trends and anomalies. These skills are crucial for accurately interpreting complex data and contributing valuable insights to data-driven decision-making processes.

What is the difference between Entry Level Pattern Recognition vs Data Analyst?

AspectEntry Level Pattern RecognitionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsBachelor's degree in statistics, data science, or related field
Work EnvironmentResearch labs, tech companies, manufacturing, or security sectorsBusiness offices, consulting firms, or tech companies
Employer & Industry UsageUsed in AI, machine learning, security, and quality controlUsed in business intelligence, marketing, finance, and operations
Common Search & Comparison IntentUnderstanding entry-level roles focused on pattern recognition skillsComparing roles involving data analysis and interpretation

Entry Level Pattern Recognition involves identifying patterns in data, images, or signals, often in technical or security contexts. Data Analysts interpret data to inform business decisions. While both roles analyze data, Entry Level Pattern Recognition emphasizes pattern detection skills, whereas Data Analysts focus on data interpretation and reporting.

What jobs are good for entry level pattern recognition?

Entry level pattern recognition skills are valuable in roles such as data analyst, quality control technician, or machine learning assistant, where identifying trends and anomalies is essential. These jobs often require basic knowledge of data analysis tools, attention to detail, and sometimes familiarity with programming languages like Python or R.
More about Entry Level Pattern Recognition jobs

What are the most commonly searched types of Pattern Recognition jobs?

The most popular types of Pattern Recognition jobs are:

What states have the most Entry Level Pattern Recognition jobs?

States with the most job openings for Entry Level Pattern Recognition jobs include:

What job categories do people searching Entry Level Pattern Recognition jobs look for?

The top searched job categories for Entry Level Pattern Recognition jobs are:

Entry Level Pattern Recognition jobs near you
Infographic showing various Entry Level Pattern Recognition job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 61% Physical, 1% Hybrid, and 38% Remote job distribution, with an average salary of $48,812 per year, or $23.5 per hour.

Domain Engineer

Elutions

Arlington, VA • On-site

Full-time

Re-posted 18 days ago

Job description

ELUTIONS is a premier global provider of Operational Business Intelligence Solutions that significantly improve business processes surrounding energy efficiency, critical asset performance and workforce productivity. As the top leader in our industry, world-wide, we are constantly on the lookout for go-getters, people who aren't afraid to work hard, but have fun at the same time. Those who join our team aren't just bright, but are willing to develop and hone their skills every day, all while making a significant difference in the world.
The Engineering Team is seeking a motivated, hard-working Domain Engineer with the ability to integrate energy conservation strategies into real world applications (commissioning data analytics and implementation).
Both entry and mid-level applicants are encouraged to apply as on-the-job training is available.
** Entry Level Candidates are Encouraged to Apply!!!**
General Responsibilities:
  • Field travel to perform site surveys and equipment installation/commissioning.
  • Conduct research, data analytics, and prepare reports.
  • Grasp concepts related to fluid mechanics, pumping systems, wastewater treatment processes, and desalination processes.
  • Understand big data concepts and have knowledge of data mining algorithms.
  • Read and understand pump characteristic curves and electrical schematics.
  • Learn and implement technical hardware/software solutions.
  • Be comfortable with data pattern recognition and energy optimization algorithms.
  • Provide 2nd tier customer support.
  • Conduct customer and sales training including software demonstrations/presentations and sales support.
  • Have effective interpersonal skills, organization/prioritization and administrative skills
  • Interface effectively with customers, other departments and managers to resolve customer problems.

Requirements:
  • Master's degree or Bachelor's degree in either Mechanical Engineering, Electrical Engineering, Industrial Engineering, or Environmental Engineering disciplines

Motivational Fit:
The successful candidate will have the following attributes:
  • Good communication skills, especially with teams in other locations
  • Plans and organizes well
  • Creative problem solver
  • Initiates action
  • Flexible and adaptable
  • Team-oriented
  • Highly motivated

Apply