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Statistical Engineering Jobs in Atwater, CA (NOW HIRING)

Stellantis

Resident Engineer

Merced, CA · On-site

$105K - $134K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Interpret released engineering designs, specifications, materials and standards for hourly and ...

Hilmar Cheese Company

Process Engineer II

Hilmar, CA · On-site

... Engineering field plus 1 year manufacturing experience. * Ability to complete energy and mass balances * Ability to collect and analyze production data using statistical techniques * Ability to ...

Hilmar Cheese Company

Senior Research Engineer

Hilmar, CA · On-site

$88 - $132/hr

... of engineering science and technology as applied to dairy processes and food ingredient manufacturing. * Good knowledge of experimental design, methods of data analysis, and basic statistics and ...

Hilmar Cheese Company

Senior Research Engineer

Hilmar, CA

$111K - $153K/yr

... of engineering science and technology as applied to dairy processes and food ingredient manufacturing. Good knowledge of experimental design, methods of data analysis, and basic statistics and ...

Gallo

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

... developer/programmer opportunities while working with leading technology and software. You'll ... Familiar with advanced statistical concepts such as random forests, ensemble methods, LNearest ...

New

Gallo

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

... developer/programmer opportunities while working with leading technology and software. You'll ... Familiar with advanced statistical concepts such as random forests, ensemble methods, LNearest ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Atwater, CA

Statistical Engineering information

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.

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 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.

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.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What cities near Atwater, CA are hiring for Statistical Engineering jobs?

Cities near Atwater, CA with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Atwater, CA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Solutions Engineer, Remote

Aperia Technologies

Merced, CA • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to customers throughout the sales process and beyond. In this role, you will collaborate with Sales and Customer Experience teams to analyze and present data, optimize customer engagements, and drive successful outcomes. This position is key to delivering a seamless, cohesive experience across pre-sales and post-sales interactions.

Your Responsibilities

Customer Engagement:

  • Serve as a subject matter expert on Aperia’s products, pilot data, and algorithm behavior to effectively communicate value to potential customers.
  • Own the discovery and qualification process for Aperia’s technical compatibility with customer environments.
  • Partner with Sales Directors to identify customer business goals, needs, and pain points, and craft solutions that address them.
  • Develop and deliver engaging presentations and demonstrations for technical and non-technical audiences, virtually and in person.

Technical Expertise:

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  • Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success.
  • Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.
  • Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical expertise.

Cross-Functional Collaboration:

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  • Act as the voice of the customer by representing feedback to Product and Engineering teams.
  • Optimize the technical sales pilot process by developing tools, analyses, and artifacts that streamline workflows.
  • Collaborate with Sales, Product, and Engineering teams to refine strategies and improve customer outcomes.

Skills/Qualifications

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  • B.S or B.A degree in Engineering, Business administration or related field required.
  • 3+ years of experience in a solutions engineering, sales engineering, or similar role.
  • Proficiency in SQL and Python is required; experience with additional programming languages or tools is a plus.
  • Strong analytical skills with expertise in Excel and statistical analysis.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • Solution-oriented mindset, motivated by creating practical solutions to complex problems.
  • Experience and familiarity with the sales/pre-sales processes used in either hardware or software sales.
  • Polished presenter, comfortable leading presentations and demos of our portal and pilot data to large groups, both technical and non-technical. Virtually and in person.
  • Proven ability to thrive in fast-paced environments, meet deadlines, and maintain commitments to customers and coworkers.

Pay Range: $120,000 - $140,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

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