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Weekend Sas Programmer Jobs in Detroit, MI (NOW HIRING)

OpTech

Scientist-Research Engineer (ML)

Dearborn, MI · On-site

Job Summary We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate ...

New

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$110K - $187K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

New

Orbotech

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$110K - $187K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

New

Td

Principal Data Scientist (US)

Southfield, MI

$148K - $223K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

TD

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Stellantis

Data Scientist AI Execution

Auburn Hills, MI · On-site

Collaborate with Data Engineers to ensure models are production-ready, scalable, and performant * Work closely with Data Analysts, Front-End Developers, and UI/UX roles to integrate AI outputs into ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science, Systems Engineering, Manufacturing Engineering or a related field and 3 years of experience in the ...

Judge Group, Inc.

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad ...

New

Pwc

AI & GenAI Data Scientist-Director

Detroit, MI · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

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All JobsSas Programmer JobsWeekend Sas Programmer JobsWeekend Sas Programmer Jobs in Detroit, MI

Weekend Sas Programmer information

See Detroit, MI salary details

$14

$48

$78

How much do weekend sas programmer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for weekend sas programmer in Detroit, MI is $48.51, according to ZipRecruiter salary data. Most workers in this role earn between $34.04 and $60.91 per hour, depending on experience, location, and employer.

What are the typical responsibilities of a Weekend SAS Programmer, and how does the role fit within the overall data team?

As a Weekend SAS Programmer, you are primarily responsible for developing, testing, and optimizing SAS programs to manage, analyze, and report on large datasets—often to meet tight deadlines or provide critical weekend support. The role may involve collaborating remotely with project managers, analysts, or other programmers to ensure data integrity and timely project delivery. Weekend shifts typically require a high level of autonomy, but you may also participate in virtual meetings or provide status updates to the weekday team. This structure allows organizations to maintain continuous data operations and quickly address time-sensitive analytical needs, making your contributions vital to team efficiency.

What are the key skills and qualifications needed to thrive in the Weekend SAS Programmer position, and why are they important?

To thrive as a Weekend SAS Programmer, you need strong expertise in SAS programming, data analysis, and statistical methodologies, often supported by a degree in computer science, statistics, or a related field. Proficiency with SAS software, SQL, and experience with data management tools or relevant certifications such as Base SAS Certification are important. Effective time management, communication skills, and the ability to work independently are key soft skills in this role. These abilities ensure accurate data handling and reporting within limited timeframes, supporting business or research objectives during non-standard working hours.

What is a Weekend SAS Programmer?

A Weekend SAS Programmer is responsible for developing, maintaining, and troubleshooting SAS programs, typically on weekends. These professionals work with datasets, generate reports, and support data analysis for businesses or research projects. The role may involve data cleaning, statistical analysis, and automating processes using SAS. Often, this position is suited for professionals seeking part-time or flexible work arrangements.

What are the most commonly searched types of Sas Programmer jobs in Detroit, MI? The most popular types of Sas Programmer jobs in Detroit, MI are:
What are popular job titles related to Weekend Sas Programmer jobs in Detroit, MI? For Weekend Sas Programmer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Weekend Sas Programmer jobs in Detroit, MI look for? The top searched job categories for Weekend Sas Programmer jobs in Detroit, MI are:
Weekend Sas Programmer jobs near you
Infographic showing various Weekend Sas Programmer job openings in Detroit, MI as of August 2026, with employment types broken down into 43% Full Time, 4% Part Time, and 53% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $100,906 per year, or $48.5 per hour.

Scientist-Research Engineer (ML)

OpTech

Dearborn, MI • On-site

Other

Posted 3 days ago

New

Job description

Job Summary

We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications.

Key Responsibilities

  • Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data.
  • Build machine learning and physics-informed models to analyze component health and degradation.
  • Process and analyze large datasets using Python, SQL, and cloud platforms.
  • Develop fault detection and anomaly detection solutions for vehicle systems.
  • Perform modeling and simulation using MATLAB/Simulink.
  • Collaborate with cross-functional teams to deploy solutions into production vehicles.
  • Support embedded software implementation in C++ environments.

Required Skills

  • Python
  • SQL
  • C++
  • Data Science & Machine Learning
  • MATLAB / Simulink
  • Algorithms & Statistical Analysis
  • Google Cloud Platform (Google Cloud Platform) or other cloud environments
  • Signal Processing (DSP)
  • Predictive Analytics & Prognostics

Required Qualifications

  • Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
  • 4+ years of experience applying statistical and machine learning techniques.
  • 3+ years of experience with Python and SQL.
  • Experience with predictive modeling, sensor data analysis, and vehicle diagnostics.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • PhD in a related technical field.
  • Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM).
  • Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems.
  • Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.

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