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Statistical Engineering Jobs in Festus, MO (NOW HIRING)

Ra

Marketing Analytics Manager

Saint Louis, MO

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

micro1 AI

Director of Biostatistics

Saint Louis, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Eaton

Engineering Specialist - Reliability

Ellisville, MO · On-site

$113K - $165K/yr

Bachelor's degree in Engineering, Statistics, or related field from an accredited institution. * Minimum 8 years of experience in a technical role. * Minimum 4 years of experience in advanced (R&D) ...

Pwc

CTIO AI Engineering Manager

Saint Louis, MO

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Nestl Purina North America

Data Scientist

Saint Louis, MO

$88K - $123K/yr

... Statistics, Engineering, Mathematics, or a related field 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models 3+ ...

Pwc

US Tech - AI Engineering Manager

Saint Louis, MO · On-site

$73K - $244K/yr

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 ...

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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.
Statistical Engineering jobs near you

Marketing Analytics Manager

Ra

Saint Louis, MO

Full-time

Re-posted 19 days ago

Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Manager

Job Level: Mid - Senior Level


Job Description:

This is what you will do..

You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.





Qualifications

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.

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