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How to hire a statistical engineer

Statistical engineer hiring summary. Here are some key points about hiring statistical engineers in the United States:

  • In the United States, the median cost per hire a statistical engineer is $1,633.
  • It takes between 36 and 42 days to fill the average role in the US.
  • Human Resources use 15% of their expenses on recruitment on average.
  • On average, it takes around 12 weeks for a new statistical engineer to become settled and show total productivity levels at work.

How to hire a statistical engineer, step by step

To hire a statistical engineer, you should create an ideal candidate profile, determine a budget, and post and promote your job. Here's a step-by-step guide on how to hire a statistical engineer:

Here's a step-by-step statistical engineer hiring guide:

  • Step 1: Identify your hiring needs
  • Step 2: Create an ideal candidate profile
  • Step 3: Make a budget
  • Step 4: Write a statistical engineer job description
  • Step 5: Post your job
  • Step 6: Interview candidates
  • Step 7: Send a job offer and onboard your new statistical engineer
  • Step 8: Go through the hiring process checklist
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  1. Identify your hiring needs

    Before you post your statistical engineer job, you should take the time to determine what type of worker your business needs. While certain jobs definitely require a full-time employee, it's sometimes better to find a statistical engineer for hire on a part-time basis or as a contractor.

    Determine employee vs contractor status
    Is the person you're thinking of hiring a US citizen or green card holder?

    You should also consider the ideal background you'd like them a statistical engineer to have before you start to hire. For example, what industry or field would you like them to have experience in, what level of seniority or education does the job require, and how much it'll cost to hire a statistical engineer that fits the bill.

    This list shows salaries for various types of statistical engineers.

    Type of Statistical EngineerDescriptionHourly rate
    Statistical EngineerIndustrial engineers find ways to eliminate wastefulness in production processes. They devise efficient systems that integrate workers, machines, materials, information, and energy to make a product or provide a service.$30-54
    Manufacturing Engineering InternshipA manufacturing engineering intern is responsible for assisting the manufacturing engineers on the plant's daily operations, analyzing the manufacturing process and procedures, and recommending strategic solutions to maximize productivity and minimize costs. Manufacturing engineering interns shadow the production staff, inspect the tools and equipment of the manufacturing, analyze the quality control documentation, and perform related administrative tasks to familiarize themselves with the plant structure... Show more$19-32
    Process Engineer InternshipA process engineering intern performs various tasks for an organization. These include collaborating with the technical team on cost savings, process efficiency improvements, and technology advancement, attending meetings with leadership teams, and participating in customer trials... Show more$14-24
  2. Create an ideal candidate profile

    Common skills:
    • Measurement System Analysis
    • Minitab
    • SQL
    • Statistical Process Control
    • R
    • FMEA
    • Sigma
    • Measurement Systems
    • Regression
    • DOE
    • Statistical Methods
    • Data Collection
    • Cost Savings
    Responsibilities:
    • Manage Jenkins security by providing specific access to authorize developers/testers using project base matrix authorization strategy.
    • Verify project impact to performance, cost, quality, yield, sigma, etc.
    • Expedite and simplify the quotation process for solar water heating systems by accurately representing solar water heating system performance through MATLAB models
    • Systemize the Deviation/CAPA and train on investigations utilizing DMAIC.
  3. Make a budget

    Including a salary range in your statistical engineer job description is one of the best ways to attract top talent. A statistical engineer can vary based on:

    • Location. For example, statistical engineers' average salary in iowa is 44% less than in washington.
    • Seniority. Entry-level statistical engineers 45% less than senior-level statistical engineers.
    • Certifications. A statistical engineer with certifications usually earns a higher salary.
    • Company. Working for an established firm or a new start-up company can make a big difference in a statistical engineer's salary.

    Average statistical engineer salary

    $85,078yearly

    $40.90 hourly rate

    Entry-level statistical engineer salary
    $63,000 yearly salary
    Updated December 15, 2025

    Average statistical engineer salary by state

    RankStateAvg. salaryHourly rate
    1California$116,069$56
    2California$115,914$56
    3California$115,880$56
    4California$111,290$54
    5California$110,556$53
    6Michigan$95,084$46
    7Michigan$94,889$46
    8Nevada$94,352$45
    9Georgia$93,653$45
    10Virginia$88,077$42
    11New York$84,319$41
    12New York$84,288$41
    13Florida$77,848$37
    14Oregon$76,034$37

    Average statistical engineer salary by company

    RankCompanyAverage salaryHourly rateJob openings
    1Intel$98,174$47.207
    2Pharmacyclics$97,349$46.80
    3Corning Incorporated$96,987$46.6330
    4The Aerospace Corporation$91,772$44.121
    5Watson Laboratories$88,951$42.76
    6Nexteer Automotive$88,745$42.671
    7IntelliSurvey$87,094$41.87
    8Syracuse University$69,547$33.44
  4. Writing a statistical engineer job description

    A statistical engineer job description should include a summary of the role, required skills, and a list of responsibilities. It's also good to include a salary range and the first name of the hiring manager. Below, you can find an example of a statistical engineer job description:

    Statistical engineer job description example

    You will be a key part of the Technology Development and Modeling (TDM) team, which is responsible for a range of reliability and statistical analysis solutions to internal and external partners, including:

    Transistor degradation analysis, process variation, oxide wearout, ESD, soft-errors, and reliability verification across multiple design hierarchies and process technologies Interacting with EDA vendors to integrate Intel reliability/statistical analysis models within their EDA frameworks Working closely with multiple Intel organizations and industry partners to develop and deploy solutions that support parametric variation (process/reliability) analysis across SoC/IP designs Involvement in developing AI/ML, data analytics and associated automation to improve parametric variation analysis algorithms as well as PDK assessment.
    About the team and organization:
    TDM is part of Intel's Design Enablement (DE) organization. DE is a key pillar in enabling Intel to deliver design, development and manufacturing services that allow internal and external customers to deliver winning products to the marketplace. Your work will directly enable design teams to get to the market faster with leadership products based on innovative technologies. As a member of TDM you will be at the forefront of co-optimizing Intel's state-of-the-art process technology which allows customers with diverse design needs to enable best-in-class products for data-centric applications. Tech Definition and Modeling Team serves as the design interface with the process development team and works out key design/process interactions for all new Intel processes.

    Qualifications:
    You must possess the minimum qualifications listed below to be considered for this position. Preferred qualifications are not required, but all other things being equal they will give you an advantage in the interview process.Minimum Qualifications:
    Master's degree in Electrical or Computer Engineering and at least 1 year of professional work experience OR a Ph.D. in the same fields of study.In addition, you must possess both of the following qualifications: At least 1 year of programming experience in C/C++ AND at least 6 months of experience in 2 of the following areas: device physics, reliability analysis/modeling, robust circuit design and statistical analysis.
    Preferred Qualifications:
    Scripting with languages like Python, Perl, Tcl, etc.Circuit simulators like HSpice or SpectreCircuit-level variation analysis (variation features in simulation tools, Solido, etc.)

    Job Type:
    College Grad

    Shift:
    Shift 1 (United States of America)

    Primary Location:
    US, California, Santa Clara

    Additional Locations:
    US, Oregon, Hillsboro

    Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

    Business group:
    As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth.

    Posting Statement:
    All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

    Position of Trust
    N/A

    Work Model for this Role
    This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
  5. Post your job

    There are a few common ways to find statistical engineers for your business:

    • Promoting internally or recruiting from your existing workforce.
    • Ask for referrals from friends, family members, and current employees.
    • Attend job fairs at local colleges to meet candidates with the right educational background.
    • Use social media platforms like LinkedIn, Facebook, and Twitter to recruit passive job-seekers.
    Post your job online:
    • Post your statistical engineer job on Zippia to find and recruit statistical engineer candidates who meet your exact specifications.
    • Use field-specific websites.
    • Post a job on free websites.
  6. Interview candidates

    Recruiting statistical engineers requires you to bring your A-game to the interview process. The first interview should introduce the company and the role to the candidate as much as they present their background experience and reasons for applying for the job. During later interviews, you can go into more detail about the technical details of the job and ask behavioral questions to gauge how they'd fit into your current company culture.

    It's also good to ask about candidates' unique skills and talents to see if they match your ideal candidate profile. If you think a candidate is good enough for the next step, you can move on to the technical interview.

    The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

  7. Send a job offer and onboard your new statistical engineer

    Once you've selected the best statistical engineer candidate for the job, it's time to write an offer letter. In addition to salary, this letter should include details about the benefits and perks you offer the candidate. Ensuring that your offer is competitive is essential, as qualified candidates may be considering other job opportunities. The candidate may wish to negotiate the terms of the offer, and you should be open to discussion. After you reach an agreement, the final step is formalizing the agreement with a contract.

    It's also important to follow up with applicants who do not get the job with an email letting them know that the position is filled.

    Once that's done, you can draft an onboarding schedule for the new statistical engineer. Human Resources should complete Employee Action Forms and ensure that onboarding paperwork is completed, including I-9s, benefits enrollment, federal and state tax forms, etc. They should also ensure that new employee files are created for internal recordkeeping.

  8. Go through the hiring process checklist

    • Determine employee type (full-time, part-time, contractor, etc.)
    • Submit a job requisition form to the HR department
    • Define job responsibilities and requirements
    • Establish budget and timeline
    • Determine hiring decision makers for the role
    • Write job description
    • Post job on job boards, company website, etc.
    • Promote the job internally
    • Process applications through applicant tracking system
    • Review resumes and cover letters
    • Shortlist candidates for screening
    • Hold phone/virtual interview screening with first round of candidates
    • Conduct in-person interviews with top candidates from first round
    • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
    • Conduct background checks on top candidates
    • Check references of top candidates
    • Consult with HR and hiring decision makers on job offer specifics
    • Extend offer to top candidate(s)
    • Receive formal job offer acceptance and signed employment contract
    • Inform other candidates that the position has been filled
    • Set and communicate onboarding schedule to new hire(s)
    • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)
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How much does it cost to hire a statistical engineer?

There are different types of costs for hiring statistical engineers. One-time cost per hire for the recruitment process. Ongoing costs include employee salary, training, onboarding, benefits, insurance, and equipment. It is essential to consider all of these costs when evaluating hiring a new statistical engineer employee.

The median annual salary for statistical engineers is $85,078 in the US. However, the cost of statistical engineer hiring can vary a lot depending on location. Additionally, hiring a statistical engineer for contract work or on a per-project basis typically costs between $30 and $54 an hour.

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