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Statistical Engineering Jobs in Georgia (NOW HIRING)

Absolics Inc

Inline Monitoring (IM) Engineer

Covington, GA · On-site

$100K - $150K/yr

Bachelor's or Master's degree in Yield Improvement, Statistics, Materials Science, Electrical Engineering, or a related field preferred. EXPERIENCE: * 10+ years of experience in yield enhancement ...

Absolics Inc

Inline Monitoring (IM) Engineer

Covington, GA · On-site

$100K - $150K/yr

Bachelor's or Master's degree in Yield Improvement, Statistics, Materials Science, Electrical Engineering, or a related field preferred. EXPERIENCE: * 10+ years of experience in yield enhancement ...

Batchelor & Kimball

Mechanical Engineering Intern

Conyers, GA · On-site

$15 - $20.25/hr

We are looking for a Mechanical Engineering college student who has the desire to work in the ... Effective statistical analysis skills * Effective research and communication skills * Enthusiasm ...

Briggs & Stratton

Quality Engineer Senior

Stone Mountain, GA · On-site

$80K - $108K/yr

... engineering assignments. Performs statistical analysis of data to provide information to meet quality standards. You will do this by * Performs advanced quality assurance assignments and projects ...

Absolics Inc

Plating Process Engineer

Covington, GA · On-site

$70K - $80K/yr

Develop and standardize process recipes through structured engineering practices * Perform statistical process control and monitoring using appropriate statistical tools * Analyze defects and ...

Absolics Inc

Plating Process Engineer

Covington, GA

$70K - $80K/yr

Develop and standardize process recipes through structured engineering practices * Perform statistical process control and monitoring using appropriate statistical tools * Analyze defects and ...

Absolics Inc

Plating Process Engineer

Covington, GA

$70K - $80K/yr

Develop and standardize process recipes through structured engineering practices * Perform statistical process control and monitoring using appropriate statistical tools * Analyze defects and ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Georgia

Statistical Engineering information

See Georgia salary details

$51.6K

$60.5K

$67.6K

How much do statistical engineering jobs pay per year?

As of Jun 20, 2026, the average yearly pay for statistical engineering in Georgia is $60,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $64,600.00 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.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

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 much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

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 are popular job titles related to Statistical Engineering jobs in Georgia? For Statistical Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Georgia look for? The top searched job categories for Statistical Engineering jobs in Georgia are:
What cities in Georgia are hiring for Statistical Engineering jobs? Cities in Georgia with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Associate Director, Engineering Sciences - BioMechanics

Associate Director, Engineering Sciences - BioMechanics

Secretariat

Atlanta, GA • On-site

Full-time

Posted 23 days ago

Job description

Chart Your Journey at Secretariat
From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat.
ABOUT THE FIRM
Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.
When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one - working with the world's most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions.
Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and - most importantly - you.
Make your impact at Secretariat.
ABOUT OUR ENGINEERING SCIENCES TEAM
As part of our expanding Global Engineering and Scientific consulting team, you will work at the forefront of today's most complex engineering challenges. You will be engaged in analyzing failures of a myriad of products from a variety of industries, but with a heavy focus on large industrial facilities like power plants, Oil & Gas facilities, chemical processing plants, construction, and similar. Outside of that work, you will be engaged in automotive, consumer products, consumer electronics, and medical devices.
Secretariat leverages our diverse technical expertise and industry knowledge of a variety of structures and products to provide clients with world-class value to identify solutions that drive performance and safety.
Secretariat is a diversified international expert services firm with more than 500 professionals in 20+ cities around the globe. Furthermore, Secretariat was recently ranked as the #1 firm in Global Arbitration Review's prestigious GAR 100 Expert Witness Firms' Power Index, and more than 90% of Secretariat's leading experts are recognized as leading experts in their field by the independent Lexology rankings.
RESPONSIBILITIES
  • Design and develop analytical pipelines for acquisition, synchronization, fusion, processing, and analysis of multimodal wearable and biomechanical sensor data.
  • Collect, process, analyze, and interpret biomechanical and physiological data from both laboratory and real-world study environments as they pertain to human gait and locomotion, motor control, and predictive musculoskeletal and human movement modeling.
  • Develop algorithms, software tools, and analytical workflows for wearable sensor and biomechanics applications.
  • Work extensively with wearable sensing modalities including:
    • inertial measurement units (IMUs)
    • photoplethysmography (PPG)
    • galvanic skin response (GSR/EDA)
    • electromyography (EMG)
    • wearable force and pressure sensing systems
    • flexible and emerging wearable sensor technologies
  • Apply signal processing, sensor fusion, statistical modeling, and AI/ML methodologies to derive meaningful insights from complex multimodal datasets.
  • Develop and apply machine learning and AI approaches including:
    • predictive analytics
    • classification and pattern recognition
    • anomaly detection
    • time-series analytics
    • human activity recognition
    • computer vision and movement tracking
  • Support development and validation of wearable sensing technologies and associated algorithms against laboratory-based gold-standard systems.
  • Develop technical reports, visualizations, dashboards, and presentations to communicate analytical findings and study outcomes.
  • Collaborate closely with multidisciplinary teams including engineers, data scientists, clinicians, researchers, and product development teams.
  • Contribute to technical publications and client-facing technical activities as appropriate.

QUALIFICATIONS
  • Ph.D. in Biomechanics, Biomedical Engineering, Mechanical Engineering, Kinesiology, Bioengineering, Data Science, Electrical Engineering, or a related technical discipline.
  • Strong background in biomechanics, human movement analysis, signal processing, and advanced data analytics.
  • Experience working with wearable biomechanical, physiological, and integrated clinical sensing technologies.
  • Experience developing analytical pipelines, algorithms, or software tools for integrated wearable and laboratory-based sensor data processing and analysis.
  • Strong understanding of multimodal wearable sensing technologies and associated signal characteristics.
  • Experience conducting or supporting human-subject/participant studies.
  • Experience processing and analyzing large-scale time-series datasets generated from diverese sensing systems.
  • Experience applying statistical analysis, machine learning, or AI methodologies to biomechanics, physiological monitoring, or other human movement datasets.
  • Strong programming and scientific computing skills using Python, MATLAB, R, and/or C/C++.
  • Strong written and verbal communication skills.

A rewarding career above all
There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure.
Our culture and people are driven by passion, pride, and performance. Passion for the clients we serve, the work we deliver, and the communities we live in. Pride in our cohesive team recognized for excellence and trusted to perform in the most challenging situations. And our track record of outstanding performance across all of our disciplines speaks for itself.
Our people are motivated to be the best in everything they do - from our approach to making the complex simple to the way we mentor our up-and-coming talent to become trusted experts early in their careers.
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