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Statistics Jobs in Maine (NOW HIRING)

Quality Engineer I

Scarborough, ME · On-site

$73K - $94K/yr

Performs statistical analysis to analyze trends, and works with site functions to investigate trends, conduct root cause analysis and recommend corrective actions for processes and products. * Drives ...

Quality Engineer I

Scarborough, ME · On-site

$73K - $94K/yr

Performs statistical analysis to analyze trends, and works with site functions to investigate trends, conduct root cause analysis and recommend corrective actions for processes and products. * Drives ...

$100K - $125K/yr

Knowledge of advanced data gathering and analysis techniques, including statistical analysis. * Knowledge of standard quality and reliability tools such as FMEA (Failure Modes Effect Analysis ...

Breast Surgeon Needed in Maine Brewer is part of the Bangor, Maine metropolitan statistical area with an urban location and access to an excellent highway network while maintaining its small-town ...

Showing results 21-40

Statistics information

See Maine salary details

$39.2K

$81K

$113.3K

How much do statistics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for statistics in Maine is $80,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $112,300.00 per year, depending on experience, location, and employer.

What are statistics jobs?

Statistics jobs involve collecting, analyzing, interpreting, and presenting quantitative data to help organizations make informed decisions. Professionals in this field use mathematical techniques and statistical software to identify trends, solve problems, and provide insights across various industries, such as healthcare, finance, government, and technology. Common statistics roles include statistician, data analyst, biostatistician, and research analyst. These positions often require strong analytical skills and a solid background in mathematics or statistics.

What are the qualifications to get a job in statistics?

The qualifications to get a job in statistics include a bachelor’s or master’s degree. Depending on your field of interest, relevant areas of study may include statistics, math, accounting, political science, information sciences, biostatistics, computer science, and economics. Common duties of a statistician in any field are to collect data through surveys or other methods, analyze data, make any relevant observation, and present reports. Strong computer literacy skills, knowledge of programming languages such as R and Python, and familiarity with statistical analysis software are essential in this career.

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

To thrive as a Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS, along with familiarity with data visualization tools, is commonly required. Analytical thinking, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills. These abilities ensure accurate data interpretation and effective communication of insights to support informed decision-making.

What are some common challenges statisticians face when communicating complex data findings to non-technical stakeholders?

Statisticians often encounter the challenge of translating intricate data analyses and statistical concepts into clear, actionable insights for audiences without technical backgrounds. It requires strong communication skills to avoid jargon and to present results in a visually engaging, accessible manner. Collaborating with colleagues in marketing, product, or management roles helps ensure that the findings inform decision-making effectively. Practicing storytelling with data and using relatable examples can greatly improve understanding and impact.

What kind of jobs can you get with statistics?

A degree or background in statistics can lead to roles such as data analyst, statistician, data scientist, quality analyst, or research analyst. These jobs typically involve analyzing data, creating models, and using tools like R or Python, often requiring strong analytical skills and knowledge of statistical methods.

What are the most commonly searched types of Statistics jobs in Maine?

The most popular types of Statistics jobs in Maine are:

Infographic showing various Statistics job openings in Maine as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $80,996 per year, or $38.9 per hour.

Senior Wafer Level Reliability (WLR) Engineer

Diodes Inc

South Portland, ME • On-site

$143K - $219K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Senior Semiconductor Technology Development Wafer Level Reliability (WLR) Engineer

The Senior WLR Engineer is an experienced technical expert responsible for developing, executing, and analyzing Wafer Level Reliability tests for advanced semiconductor devices. This role involves identifying and mitigating reliability risks throughout technology development and product life cycle. The ideal candidate has a deep understanding of intrinsic semiconductor failure mechanisms and works cross-functionally to drive improvements in device performance, process quality, and overall product reliability. The WLR engineer will be part of the Diodes, Inc. worldwide technology development organization and will work with a team of industry experts designing and developing analog semiconductor process technologies for Diodes products for both internal and external production. Work location will either be the Diodes, Inc. fabrication site in South Portland, Maine (USA) or other offices situated throughout the world.

Principal Duties and Responsibilities:

  • Develop and implement WLR methodologies: Create and execute accelerated stress tests for new CMOS, interconnect, and other semiconductor technologies according to industry standards like JEDEC.
  • Analyze failure mechanisms: Conduct in-depth analysis of reliability issues such as hot carrier injection (HCI), electromigration (EM), bias temperature instability (BTI), and stress-induced voiding (SIV).
  • Build reliability models: Develop and use mathematical and statistical models to correlate test structure data with actual product reliability and project device lifetime.
  • Drive root cause analysis (RCA): Lead or support RCA activities for reliability failures, coordinating with process integration, device engineering, and failure analysis teams.
  • Guide technology development: Partner with R&D and process development teams to provide early feedback on new technology nodes and influence design rules to enhance reliability.
  • Support high-volume manufacturing (HVM): Provide expert support for manufacturing issues, including process conversions and material excursions, by assessing reliability risk and recommending material disposition.
  • Maintain quality standards: Ensure test methodologies and data analysis conform to relevant industry standards and best practices.
  • Provide technical leadership: Act as a subject matter expert, mentoring junior engineers and communicating complex reliability issues and risk assessments to cross-functional teams and management.

Knowledge, Skills, and Abilities:

  • Master's or Ph.D. in Electrical Engineering, Materials Science, Physics, or a related field. Equivalent industry experience would also be considered.
  • 5+ years of experience in semiconductor device reliability, with a strong focus on wafer-level testing and characterization.
  • Experience with high voltage analog semiconductor technologies, such as 10-120V BCDMOS.
  • Background in process integration, device reliability, or technology bring-up in a development fab environment.
  • Publication or patent record in device reliability fields.
  • Familiarity with JEDEC and ESDA standards, and participation in industry working groups.
  • Technical skills
    1. Expertise in semiconductor intrinsic reliability failure mechanisms.
    2. Proficiency in operating and programming automated wafer-level test equipment and parametric analyzers.
    3. Strong background in statistical analysis, including statistical process control (SPC), Weibull analysis, and life-data modeling.
    4. Experience with statistical software such as JMP or Minitab.
    5. Proficiency with data analysis tools and programming languages such as Python or R.
  • Soft Skills:
    1. Excellent problem-solving, analytical, and data interpretation skills.
    2. Exceptional written and oral communication skills for preparing reports and presenting to technical and non-technical audiences.
    3. Demonstrated ability to lead projects, manage priorities in a dynamic environment, and work effectively with cross-functional teams

Pay range $143,000 to $219,000/yr. Actual compensation may vary based on experience, qualifications, skills, and geographic considerations. Incentive compensation and benefits may also be available.

Diodes Incorporated (Nasdaq: DIOD), a Standard and Poor’s SmallCap 600 and Russell 3000 Index company, is a leading global manufacturer and supplier of high-quality application specific standard products within the broad discrete, logic, and analog semiconductor markets. Diodes serves the consumer electronics, computing, communications, industrial, and automotive markets. Diodes, Inc. is committed to developing power electronics solutions that drive sustainability, safety, and performance. We foster a culture of creativity, integrity, and learning, empowering our teams to push boundaries and deliver excellence to our customers and partners worldwide.

We offer a competitive benefits package to include medical, dental, vision, FSA, 401k with company match, company paid Short Term and Long-Term disability and standard life insurance policy. We also provide paid time off and have an employee wellness program.