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Statistical Engineering Jobs in Madison, AL (NOW HIRING)

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$113K - $136K/yr

... AI & Engineering team. In this role, you will design and deliver modern data solutions, build ... statistical programming tools to improve data quality, platform performance, and operational ...

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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 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 Madison, AL? For Statistical Engineering jobs in Madison, AL, the most frequently searched job titles are:
Statistical Engineering jobs near you
Palantir AI and Data Science Engineer III

Palantir AI and Data Science Engineer III

Deloitte

Huntsville, AL • On-site

$112K - $135K/yr

Other

Posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

57th of 139 rated financial services

Job description

Our AI & Engineering team helps transform technology platforms, drive innovation, and create meaningful impact for clients. As an AI and Data Science Engineer III, you will work with professionals who reimagine critical operations and business processes through modern data and engineering solutions. In this role, you will help clients improve performance, accelerate digital initiatives, and support growth through data, analytics, and innovation.

Work you'll do

As an AI and Data Science Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing modern data architecture and pipelines for enterprise transformation initiatives
  • Developing and enhancing data solutions using Palantir Foundry and cloud-based tools
  • Building analytics products that support mission-focused business and technology outcomes
  • Applying data engineering, data manipulation, and statistical programming techniques to enterprise datasets
  • Collaborating with cross-functional teams to deliver scalable, efficient, and maintainable data solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree
  • 5+ years of experience in data science, data manipulation, or data analysis
  • 1+ years of experience working with Palantir Foundry
  • Ability to obtain and maintain the required clearance for this role
  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • 5+ years of experience with pipeline and application development within Palantir Foundry
  • 5+ years of experience in professional services or federal consulting
Qualifications:

Our AI & Engineering team helps transform technology platforms, drive innovation, and create meaningful impact for clients. As an AI and Data Science Engineer III, you will work with professionals who reimagine critical operations and business processes through modern data and engineering solutions. In this role, you will help clients improve performance, accelerate digital initiatives, and support growth through data, analytics, and innovation.

Work you'll do

As an AI and Data Science Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing modern data architecture and pipelines for enterprise transformation initiatives
  • Developing and enhancing data solutions using Palantir Foundry and cloud-based tools
  • Building analytics products that support mission-focused business and technology outcomes
  • Applying data engineering, data manipulation, and statistical programming techniques to enterprise datasets
  • Collaborating with cross-functional teams to deliver scalable, efficient, and maintainable data solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree
  • 5+ years of experience in data science, data manipulation, or data analysis
  • 1+ years of experience working with Palantir Foundry
  • Ability to obtain and maintain the required clearance for this role
  • Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • 5+ years of experience with pipeline and application development within Palantir Foundry
  • 5+ years of experience in professional services or federal consulting
Education:Bachelor's DegreeEmployment Type:

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