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Ai Math Jobs in Davison, MI (NOW HIRING)

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline

The ability to perform basic math calculations is essential. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

Knowledge of basic math. * Strong written and verbal communications skills. * Understand of basic ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Folder Operator

Flint, MI · On-site

$18 - $24/hr

The ability to perform basic math calculations is essential. $18 - $24 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Knowledge of basic math. * Strong written and verbal communications skills. * Understand of basic ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Knowledge of basic math. * Strong written and verbal communications skills. * Understand of basic ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Math, communication, and comprehension skills to interface with transportation, dispatch, & direct ... AI tools may be used in certain stages of the employment lifecycle, such as candidate review ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Required : • BA/BSc in Computer Science, Engineering, Mathematics, or a related technical ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline

Showing results 21-34

Ai Math information

See Davison, MI salary details

$20.4K

$53.3K

$85.6K

How much do ai math jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai math in Davison, MI is $53,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,800.00 and $63,400.00 per year, depending on experience, location, and employer.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

What are the key skills and qualifications needed to thrive as an AI Math specialist?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What cities near Davison, MI are hiring for Ai Math jobs?

Cities near Davison, MI with the most Ai Math job openings:

$108K - $130K/yr

Full-time

Re-posted 17 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices. 

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities: 

  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark. 
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing. 
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform. 
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment. 
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation. 
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications. 

Basic Qualifications: 

  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline  
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores. 
    • A minimum of 4 years of hands-on experience working with AWS cloud services  
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust 
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.) 
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more 
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.) 
  • Experience with designing and implementing real-time pipelines 
  • Experience with data quality and validation 
  • Experience with API design 
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming). 
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment. 
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.

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