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Physics Data Analyst Jobs in Rochester, NY (NOW HIRING)

Basic understanding of semiconductor device physics and power device technology * Strong analytical ... Conduct data analysis and problem-solving to support continuous improvement * Execute assigned ...

Perform advanced data analysis. * Understand and apply SPC principles to establish and sustain ... Fundamental understanding of semiconductor device physics. * Demonstrated ability to apply and ...

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Conduct routine data analysis and generate regularly reported metrics. In addition, "deep dive ... Physics or a related discipline. * 2 or more years of manufacturing or academic experience in ...

Ability to identify, collect, analyze and present data necessary to resolve yield related issues ... Thorough understanding of semiconductor fabrication processes and device physics, product testing ...

Bachelor's degree in electrical engineering, Materials Science, Physics, or a related engineering ... Experience with data analysis tools such as Excel, JMP, Minitab * Understanding of reliability ...

Familiar with the fundamentals of semiconductor device physics. * Familiar with C++ and data analysis software. * Experience or knowledge in the GR&R process. * Demonstrated ability in problem ...

The desired degrees are in Optics, Physics, Electrical Engineering, or a closely related field ... Can work independently and have good writing and data analyzing skills. * Good computer skills with ...

The desired degrees are in Optics, Physics, Electrical Engineering, or a closely related field ... Can work independently and have good writing and data analyzing skills. * Good computer skills with ...

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Physics Data Analyst information

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$33.6K

$81.6K

$134.2K

How much do physics data analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for physics data analyst in Rochester, NY is $81,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A Physics Data Analyst can transition into data science at any age, including 40, as the field values skills like programming, statistical analysis, and problem-solving. Many professionals successfully switch careers later in life by gaining relevant certifications and experience, making age less of a barrier in data science roles.

Does a data analyst require physics?

A physics data analyst typically needs a strong understanding of physics principles to interpret scientific data accurately. Skills in data analysis tools like Python or R, along with knowledge of statistical methods, are also essential; formal physics education can be beneficial but is not always mandatory depending on the industry and specific role.

What does a Physics Data Analyst do?

A Physics Data Analyst collects, processes, and interprets large sets of data generated from physics experiments or simulations. They use statistical methods, programming, and specialized software to extract meaningful insights and support scientific research. Their work often involves cleaning data, identifying trends, creating visualizations, and collaborating with physicists to draw conclusions that can advance understanding in areas such as particle physics, astrophysics, or materials science.

What are the key skills and qualifications needed to thrive as a Physics Data Analyst, and why are they important?

To thrive as a Physics Data Analyst, you need a solid background in physics, mathematics, and statistical analysis, often supported by a degree in physics or a related field. Proficiency with programming languages like Python or MATLAB, data visualization tools, and familiarity with statistical software and databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with diverse teams. These skills ensure accurate analysis, meaningful data-driven conclusions, and successful collaboration in research or industry environments.

What is the difference between Physics Data Analyst vs Data Scientist?

AspectPhysics Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Physics, Data Analysis, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific organizations, industry R&DTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, aerospace, energyTech firms, finance, marketing
Common Search & ComparisonPhysics Data Analyst vs Data Scientist

The main difference between a Physics Data Analyst and a Data Scientist lies in their focus and industry. Physics Data Analysts typically work in research or scientific environments, applying physics principles to analyze data. Data Scientists have a broader scope, often working across industries like tech, finance, and healthcare, utilizing advanced statistical and machine learning techniques. Both roles require strong analytical skills, but their applications and work settings differ.

What are some common challenges Physics Data Analysts face when interpreting experimental data?

Physics Data Analysts often work with large, complex datasets that may contain noise or inconsistencies due to experimental limitations. One common challenge is accurately distinguishing between meaningful patterns and random fluctuations, which requires strong statistical knowledge and experience with data-cleaning techniques. Additionally, analysts must frequently collaborate with physicists and engineers to understand the context of the data and ensure proper interpretation, making strong communication skills important. Overcoming these challenges involves continually updating technical skills and staying current with best practices in both physics and data analysis.

Does NASA hire data scientists?

NASA employs data scientists and data analysts to support research, mission planning, and data management. These roles often require skills in programming, statistical analysis, and experience with tools like Python, R, or SQL. Job opportunities are typically listed on NASA's official careers website and may require security clearances or specialized training.

Can data scientists make $300k?

Data scientists, including those with specialized skills like physics data analysis, can earn $300,000 or more annually, especially with extensive experience, advanced expertise, or in high-paying industries such as finance or technology. Achieving this level often requires strong programming skills, advanced degrees, and a track record of impactful work.
What are popular job titles related to Physics Data Analyst jobs in Rochester, NY? For Physics Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Physics Data Analyst jobs in Rochester, NY look for? The top searched job categories for Physics Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Physics Data Analyst jobs? Cities near Rochester, NY with the most Physics Data Analyst job openings:

Operations Research Analyst-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Rochester, NY • On-site

$74K/yr

Other

Posted 16 days ago


Job description


WHAT IS DATA AND ANALYTICS?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Position(s) are to be filled in the following area(s):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off date as shown in announcement under the 'How to Apply' section.
BASIC REQUIREMENTS GS-5 AND (All GRADES): A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
SPECIALIZED EXPERIENCE GS-11 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques. For example, experience would show a good understanding of operations research processes, procedures, and rules.
  • Experience utilizing mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations or the equivalent.
  • Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
  • Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
  • Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
  • Experience using oral and written techniques to develop/prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
  • Experience with a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL) or object-oriented programming language for data analysis (examples include: Python, R, SAS).
OR
Education
: You may substitute education for specialized experience as follows: Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR
A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR Combination of Education and Experience: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.
SPECIALIZED EXPERIENCE GS-12 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position must include the following:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.
  • Experience with multivariate techniques and mathematical, simulation, economics, econometric, and statistical operations research techniques to use in the context of organizational policy decisions or business problems.
  • Experience with the Internal Revenue Code, Treasury and Office of Management and Budget (OMB) regulations and procedures, administrative provisions, and the Internal Revenue Manual in order to ensure guidelines are applied in analysis.
  • Experience assisting or conducting research using standard methods for identifying the probable causes of cost/workload variances and procedures for resolving variances.
  • Experience with oral and written communications to complete data analysis and communicate analytical findings through conference calls, emails, graphic displays, and oral presentations.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
See education information for Specialized experience qualification for GS 13 Level.
For more information on qualifications please refer to OPM's Qualifications Standards.Education:
SPECIALIZED EXPERIENCE GS-13 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.
  • Experience conducting data analysis and communicating analytic findings to stakeholders through written products (e.g., emails, reports) and oral communication methods such as conference calls and presentations.
  • Experience applying the Internal Revenue code, Treasury and OPM regulations, administrative requirements and guidance to ensure analysis, recommendations or actions comply with established guidelines.
  • Experience consulting with supervisors, other operations research analysts, and subject-matter specialists to advise them on all aspects of problem-related studies and assignments, including the translation of broad and specific technical problems and considerations into language which allows for decisions and actions to be taken.
  • Experience using software (e.g., Excel) to develop analytical spreadsheets, prepare reports, and create materials that support operations to analyze and interpret technical or program data, develop tracking mechanisms and prepare technical reports or briefings used by management to evaluate performance, resolve issues or recommend improvements.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform)

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER