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Statistical Engineering Jobs (NOW HIRING)

Master's degree in Statistics, Computer Science, Mathematics, Engineering, or a related field. 1-5 years of experience in clinical trial programming within the biotechnology, pharmaceutical, or ...

The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer analyst supporting the clinical reporting production programming and verification for client regulatory ...

Position Summary A Principal Statistical Programmer is an expert in management, technical oversight, and quality of statistical programming activities related to the analyses of clinical trial data ...

CON-Statistical Programmer

San Diego, CA ยท On-site

$75 - $100/hr

Xencor is seeking a Contract Statistical Programmer to join our team. This position is based in San Diego, California, and follows a hybrid work arrangement, with the potential to be fully remote.

Position Summary A Senior Statistical Programming is an expert in the management, technical oversight, and quality of statistical programming activities related to the analyses of clinical trial data ...

Statistical Programmer II

Newton, MA ยท On-site +1

$115.79K - $132.40K/yr

Statistical Programmer II Duties: Parexel International LLC seeks a Statistical Programmer II reporting to headquarters in Newton, Massachusetts to conduct statistical programming. Use programming ...

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Statistical Engineering information

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$61.5K

$72.1K

$80.5K

How much do statistical engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for statistical engineering in the United States is $72,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $77,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

More about Statistical Engineering jobs
What cities are hiring for Statistical Engineering jobs? Cities with the most Statistical Engineering job openings:
What states have the most Statistical Engineering jobs? States with the most job openings for Statistical Engineering jobs include:
Infographic showing various Statistical Engineering job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,143 per year, or $34.7 per hour.
Senior Staff Engineer/Director, Statistical Engineering

Senior Staff Engineer/Director, Statistical Engineering

Edmunds.com

Santa Monica, CA โ€ข Remote

$184K - $254K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

At Edmunds weโ€™re driven to make car buying easier. Ever since we began publishing printed car guides in the 60โ€™s, the company has been in the business of trust, innovating ways to empower and support car shoppers. When Edmunds launched the car industryโ€™s first Internet site in 1994, we established a leadership position online and have never looked back. Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology. Want to join the team? Read on to find out how!


What Youโ€™re Applying For:

We are seeking a highly skilled Senior Staff Engineer/Director, Statistical Engineering to lead AI/Machine Learning innovation, statistical innovation, and advanced analytics for the New Vehicles domain. This role is accountable for delivering measurable business impact through advanced modeling, data driven insights, and strategic technical leadership, directly shaping our pricing and valuation products.


What Youโ€™ll Do:

  • Set the technical vision and roadmap for new-vehicle analytics, ensuring alignment with overall Pricing and Statistical Engineering strategies.
  • Identify and incorporate modern statistical techniques, machine learning, and generative AI into valuation, pricing, and forecasting systems.
  • Architect, develop, and validate statistical and machine learning models for new-vehicle pricing, TMV/valuation systems, and time-series forecasting, ensuring accuracy, scalability, and robustness.
  • Guide the design of rigorous experiments, calibration frameworks, and evaluation methodologies.
  • Lead end-to-end execution of strategic, complex initiatives, overseeing timelines, prioritization, and resourcing.
  • Communicate results, recommendations, and technical concepts clearly and impactfully to executive leadership and business partners.
  • Collaborate closely with the internal Stats group to maintain technical alignment and shared documentations.
  • Partner with Product, Engineering, Data, and Business stakeholders to integrate models and insights into downstream systems.


What You Need:

  • Core Qualifications: PhD in a quantitative field (Statistics, Econometrics, Data Science, or related).
  • 8+ years (Senior Staff) / 10+ years (Director) of applied analytics and statistical modeling experience.
  • Technical Expertise: Deep expertise in Machine Learning, time-series forecasting, and advanced statistical methods. Strong proficiency in Python, SQL, and cloud-based data environments. Proven track record leading complex, high-impact analytical initiatives.
  • Leadership & Communication: Excellent communication skills, strategic thinker, and collaborative leader focused on owning and innovating the new-vehicles analytics space.
  • Plus: Automotive pricing or valuation experience.

The compensation range for this position is $184,000 - $254,000 per year. The base pay will take into account internal equity as well as job-related knowledge, skills, and experience among other factors. In addition, Edmunds offers full-time employees a comprehensive total rewards package including the benefits listed below.


Edmunds Perks:

  • Flexible time off
  • 13 Paid Holidays
  • Comprehensive Health Benefits (medical, dental, vision, life and disability)
  • Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions)
  • 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting
  • Stock purchase program
  • CarMax vehicle discount
  • Up to 4 months Paid Parental Leave
  • HeartCash matches employee donations to the causes that are important to them
  • 2 Days of Paid Time Off for time to dedicate to social impact causes
  • FitCash covers a portion of gym or fitness activity fees
  • Well-being sessions
  • Employee Recognition Program
  • On-going career development opportunities
  • Pet insurance
  • Sabbatical leave
  • Education Reimbursement
  • Pre-tax spending accounts for qualified transportation expenses


Working @ Edmunds.com:

Employees think itโ€™s a pretty great place to work and some pretty impressive publications think it is too: we have been recognized as one of the best places to work by Fortune Magazine, Great Places to Work, LA Business Journal, Newsweek, Computerworld, Built in LA, Inc. Magazine, The Wall Street Journal, Business Week Magazine, and Architectural Record. We've also been identified as one of the best workplaces specifically in Technology, for Diversity and Asian Americans, and as a Newsweek Most Loved Workplace for LGBTQ+ employees. If youโ€™re interested in learning more and joining our mission, weโ€™d love to hear from you!


Edmunds will consider for employment qualified candidates with criminal histories in a manner consistent with the requirements of all applicable laws.

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