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Statistical Engineering Jobs in Spring, TX (NOW HIRING)

Deep knowledge of FE Civil examination content covering mathematics, probability and statistics, statics, dynamics, mechanics of materials, fluid mechanics, hydraulics, geotechnical engineering ...

You will work on developing predictive models, conducting statistical analysis, and creating data ... As a Manager you will combine engineering knowledge with people leadership to deliver resilient ...

Data Scientist, Assoc

Houston, TX · On-site

$56K - $56K/yr

Skills & Requirements • Master's degree in data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare ...

Job Summary - Short-term, 7-week onsite Python Developer role in Houston (5 days/week). - Focus on developing analytics solutions using Python, Databricks, and statistical modeling techniques ...

Quality Engineer II

Conroe, TX

$61K - $79K/yr

Review collected data to perform statistical analysis and recommend process/product changes to ... Bachelor's Degree in Engineering. * Minimum of 3 years of related experience (Manufacturing/Quality ...

Quality Engineer

Spring, TX · On-site

$64K - $82K/yr

... engineering drawings, GD&T, and material specifications. * Working knowledge of APQP and PPAP processes. * Proficiency with MS Office (Excel, Word); Minitab or equivalent statistical software.

Quality Engineer

Spring, TX · On-site

$64K - $82K/yr

... engineering drawings, GD&T, and material specifications. * Working knowledge of APQP and PPAP processes. * Proficiency with MS Office (Excel, Word); Minitab or equivalent statistical software.

Quality Engineer

Spring, TX

$64K - $82K/yr

... engineering drawings, GD&T, and material specifications. * Working knowledge of APQP and PPAP processes. * Proficiency with MS Office (Excel, Word); Minitab or equivalent statistical software.

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... statistical analysis and trend evaluation to identify anomalies, degradation patterns, and ... Required : • Master's or PhD in Computer Science, Mathematics, Engineering, or a related field ...

... and statistical modeling. * Knowledge of manufacturing quality systems, tolerance control, and inspection practices. * Ability to create detailed process documentation and interpret engineering ...

... and statistical modeling. * Knowledge of manufacturing quality systems, tolerance control, and inspection practices. * Ability to create detailed process documentation and interpret engineering ...

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Showing results 1-20

Statistical Engineering information

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.

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 job categories do people searching Statistical Engineering jobs in Spring, TX look for? The top searched job categories for Statistical Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Statistical Engineering jobs? Cities near Spring, TX with the most Statistical Engineering job openings:
US Tech - AI Engineering Senior Associate

US Tech - AI Engineering Senior Associate

Pwc

Houston, TX

$55K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the People Tech & AI team you will develop, test, and validate Generative AI agents and data pipelines, promoting reliability, scalability, and alignment with PwC standards. As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated standards while collaborating with multidisciplinary teams to support AI-enabled client solutions. This position provides an exciting opportunity to enhance your skills in automated testing and governance controls while contributing to innovative AI-driven solutions.
Responsibilities
- Apply automated testing and governance controls effectively
- Analyze complex issues and provide actionable insights
- Mentor and guide junior associates in their tasks
- Uphold rigorous standards of quality and technical excellence
What You Must Have
- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science
- At least 2 years of experience in data engineering, AI/ML engineering, or quality engineering
- In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college
What Sets You Apart
- Demonstrating three years of specialized training in technology preferred
- Experience with test automation and CI/CD pipelines
- Familiarity with LLMs and prompt engineering concepts
- Understanding enterprise data patterns and quality frameworks
- Building and maintaining automated test suites for AI agents
- Validating integrations with Power Automate platform
- Executing LLM evaluation frameworks using defined metrics
- Working with data scientists and ML engineers
- Upholding professional standards and documentation expectations

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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