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

OneMagnify

Data Scientist

Detroit, MI · On-site

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... Proficiency with SAS or R in an applied analytics environment * Familiarity with automotive or VIN ...

Conclusive Marketing

Data Scientist

Detroit, MI · On-site

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... Proficiency with SAS or R in an applied analytics environment * Familiarity with automotive or VIN ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) * Ability to effectively communicate, both verbal and written, across different ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$115K - $192K/yr

SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) * Ability to effectively communicate, both verbal and written, across different ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$85K - $143K/yr

SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) Ability to effectively communicate, both verbal and written, across different ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates ...

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Weekend Sas Programmer information

See Detroit, MI salary details

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$48

$78

How much do weekend sas programmer jobs pay per hour?

As of Sep 4, 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 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 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 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:

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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.

Data Scientist

OneMagnify

Detroit, MI • On-site

Full-time

Re-posted 15 days ago

Job description

Data Scientist
Role Summary
OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. This role is a fit for someone who wants to do serious technical work and see it matter in the real world.
The Impact You'll Have
The clients you'll support are making high-stakes decisions about customers, markets, and products. Your models, including forecasting demand, segmenting audiences, and optimizing spend, become the analytical backbone of how they operate. When your work is right, it drives measurable outcomes. When it's wrong, someone notices. That accountability is part of what makes this role interesting.
You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That means writing code and documentation that others can reproduce, maintain, and extend. Shipping a model is the beginning, not the end. Cross-functional collaboration with engineering, strategy, and delivery teams is part of the daily rhythm, and your ability to translate between technical and business contexts will be used constantly.
The work spans industries and problem types (automotive, retail, financial services, and more) so you'll develop breadth alongside depth. You'll rarely work on the same type of problem twice in a row.
What You'll Do
Build and validate analytical models
  • Design, deploy, and monitor models including forecasting, classification, regression, and segmentation
  • Conduct A/B testing and causal analyses with rigorous experimental design and clear documentation
  • Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure reproducibility across the full model lifecycle

Own data integration and quality
  • Integrate data from multiple sources and develop data-quality reporting that surfaces issues before they become client problems
  • Conduct root-cause analysis on data anomalies and validate database changes prior to release
  • Use Databricks for large-scale data processing and machine learning workflows

Translate requirements into technical solutions
  • Partner with business and engineering teams to elicit requirements, define business rules, and turn them into technical specifications
  • Document solutions clearly enough that someone else can maintain and extend your work
  • Ensure alignment between what clients ask for and what gets built

Communicate findings to varied audiences
  • Synthesize and present analytical findings to internal and external stakeholders, including executive-level audiences, with the judgment to handle complex or sensitive inquiries with care
  • Build metrics and KPI reports that inform real business decisions, not just dashboards that get ignored
  • Prepare visualizations in Tableau and Power BI that make complex outputs accessible

Support collaborative development
  • Use Git/GitLab for version control, reproducibility, and collaborative code development
  • Collaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow
  • Adhere to data governance, privacy, and compliance standards across all work

What You'll Need
  • BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related quantitative field - or equivalent practical experience
  • 2-5+ years of hands-on analytics including predictive modeling, A/B testing, and optimization
  • Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and data warehouses
  • Hands-on experience with Databricks for large-scale data processing and machine learning workflows
  • Proficiency with Tableau and/or Power BI for visualization and reporting
  • Experience with Git/GitLab for version control and collaborative development
  • Strong Excel and PowerPoint skills
  • Proven ability to present analyses to management and collaborate with both business and technical stakeholders
  • Experience diagnosing and resolving data-quality issues across multiple platforms
  • Understanding of data governance, privacy, and compliance standards
  • Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration

Future-Ready Skills (Nice to Have)
  • Proficiency with SAS or R in an applied analytics environment
  • Familiarity with automotive or VIN data and complex industry-specific data structures
  • Exposure to AI-enabled analytics workflows or automation within a data science context
  • Experience working in integrated marketing, consulting, or digital services environments where analytics supports client-facing delivery

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