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Experimental Design Jobs (NOW HIRING)

We are seeking an exceptional senior-level Experimental Design and Test Engineer to lead the design, execution, and advancement of next-generation signature reduction technologies for extreme ...

We are seeking an exceptional senior-level Experimental Design and Test Engineer to lead the design, execution, and advancement of next-generation signature reduction technologies for extreme ...

Senior R&D Engineer

Fresno, CA · On-site

$103K - $142K/yr

This role applies deep technical expertise in simulation, experimental design, and structured problem-solving to evaluate concepts, resolve critical engineering challenges, and enhance product ...

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Experimental Design information

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$14

$26

$43

How much do experimental design jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for experimental design in the United States is $26.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $30.05 per hour, depending on experience, location, and employer.

What is an Experimental Design job?

An Experimental Design job involves planning, structuring, and analyzing experiments to ensure reliable and valid results. Professionals in this role use statistical methods to test hypotheses, optimize processes, and improve decision-making in fields such as science, engineering, and business. They design experiments to minimize bias, control variables, and maximize the accuracy of conclusions. This role is crucial in research and development, product testing, and process optimization across various industries.

What are the key skills and qualifications needed to thrive in the Experimental Design position, and why are they important?

To excel in Experimental Design, a professional needs a strong background in statistics, scientific methodology, and data analysis, typically supported by an advanced degree in a related field. Familiarity with statistical software (such as R, SPSS, or SAS), laboratory equipment, and protocol management systems is often required. Strong attention to detail, critical thinking, and effective communication are crucial soft skills in this position. These capabilities are vital for ensuring research integrity, reproducibility, and clear reporting of experimental outcomes.

What are some high paying design jobs?

High paying design jobs include roles such as user experience (UX) designer, industrial designer, and creative director, often requiring advanced skills and experience. These positions typically offer higher salaries due to their complexity, leadership responsibilities, and demand for specialized expertise, with salaries varying by industry and location.

What careers can DT lead to?

Experimental design careers can lead to roles such as research scientist, data analyst, product developer, or clinical trial coordinator. These positions often require strong analytical skills, knowledge of research methods, and proficiency with statistical tools or software. Advancement may involve specialization in a specific field or obtaining relevant certifications.

What are some common challenges faced by professionals in Experimental Design roles?

One common challenge in Experimental Design roles is ensuring that experiments are both scientifically rigorous and feasible given constraints like budget, time, or available resources. Additionally, dealing with unexpected variables or data inconsistencies can require creative problem-solving and the ability to adapt research protocols. Team collaboration is also key, as experimental designers often work closely with scientists, engineers, and statisticians to develop and refine testing procedures. By anticipating potential obstacles and communicating clearly with stakeholders, professionals in this role contribute to successful and reliable research outcomes.

What is an experimental designer?

An experimental designer is a professional who plans and develops experiments to test hypotheses and gather data, often in scientific or research settings. They use principles of scientific methodology, statistical analysis, and design tools to ensure valid and reliable results.

What are examples of experimental design?

Experimental design in research involves planning how to conduct experiments to test hypotheses, often using methods such as randomized controlled trials, factorial designs, or crossover studies. In an experimental design role, understanding how to control variables, select appropriate samples, and analyze data with statistical tools is essential for ensuring valid and reliable results.
More about Experimental Design jobs
What cities are hiring for Experimental Design jobs? Cities with the most Experimental Design job openings:
What states have the most Experimental Design jobs? States with the most job openings for Experimental Design jobs include:
Infographic showing various Experimental Design job openings in the United States as of June 2026, with employment types broken down into 14% Full Time, 65% Part Time, and 21% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $54,595 per year, or $26.2 per hour.
Sr. Software Engineer II - Rockerbox

Sr. Software Engineer II - Rockerbox

DoubleVerify

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

Posted 16 days ago


Job description

Job Summary:
DoubleVerify is a company that empowers marketing executives to make data-driven decisions through its suite of products. As a Data Scientist at Rockerbox, you will own testing methodologies and statistical experimentation, ensuring marketers receive precise insights into campaign effectiveness.
Responsibilities:
• Own the end-to-end development of testing methodologies, ensuring statistical robustness.
• Adapt, optimize, and iterate on the current testing packages, translating R-based methodologies into Python.
• Design and implement statistical frameworks for campaign effectiveness measurement.
• Work closely with engineering to integrate testing methodologies into the Rockerbox platform.
• Conduct exploratory data analysis to refine test parameters and ensure accuracy.
• Stay up to date with the latest causal inference and experimental design techniques.
Qualifications:
Required:
• 5+ years of experience in data science.
• Strong knowledge of statistical testing, experimental design, and regression modeling.
• Proficiency in Python (NumPy, Pandas, Statsmodels, etc.); experience adapting R-based packages is a plus.
• Familiarity with marketing analytics concepts such as campaign allocation and budget optimization.
• Ability to translate complex statistical methodologies into actionable insights.
• Strong problem-solving skills and experience working cross-functionally with engineering and product teams.
Company:
DoubleVerify is a software platform that specializes in digital media verification and advertising technology. Founded in 2008, the company is headquartered in New York, USA, with a team of 501-1000 employees. The company is currently Late Stage.