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Sas Python Jobs (NOW HIRING)

Newt Global

SAS Developer /SAS Analyst

Dallas, TX

SAS Developer Location - Irving, TX Full Time Exp: 8-10 yrs Key Responsibilities: * Migrate current ... Strong in Python and SQL * Excellent analytical, problem-solving, and communication skills

New

VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

Description SAS Programmer Location: Remote/Hybrid Job Type: Full-Time Position Overview: Venesco ... Experience supporting FDA submissions Knowledge of Python

Genesis NGN Inc.

SAS Viya Administrator

Dallas, TX

Automate administrative tasks using Shell scripting, Python, Ansible, or SAS administrative tools. * Support CI/CD processes for platform deployments. * Provide Level 2/Level 3 support and incident ...

New

MSR Cosmos

SAS Developer

Dallas, TX · On-site

SAS Developer Location: Dallas, TX (5 days onsite) Duration: Long Term Looking for 13+ years of ... Familiarity with other programming languages such as Python, R, or Java. * Experience with data ...

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How much do sas python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for sas python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Sas Python position, and why are they important?

To thrive in a Sas Python role, candidates need strong programming skills in both SAS and Python, coupled with a background in data analysis, statistics, or a related quantitative field. Familiarity with data visualization tools, SQL databases, and certifications such as SAS Base Programmer or Python programming are commonly expected. Strong analytical thinking, problem-solving, and effective communication skills help professionals explain technical insights to non-technical stakeholders. These abilities are critical for efficiently managing and interpreting large datasets to drive informed business decisions.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. Skills in SAS, along with knowledge of SQL and data management, can improve job prospects, especially for roles involving data analysis, statistical modeling, and regulatory compliance.

What are typical projects or assignments for someone in a Sas Python role?

Professionals in Sas Python positions often work on projects involving data extraction, transformation, and analysis to support business intelligence, reporting, or predictive modeling efforts. Assignments may include writing and optimizing code in SAS to process large datasets, integrating SAS outputs with Python scripts for advanced analytics, or building custom data pipelines and visualizations. Collaboration is frequent with data scientists, business analysts, and IT teams to ensure insights are aligned with organizational goals. This diverse project exposure offers opportunities to continuously expand your skills and make a measurable impact on business outcomes.

Is Python replacing SAS?

For SAS Python professionals, Python is increasingly used alongside or as an alternative to SAS for data analysis, automation, and machine learning tasks. While Python offers open-source flexibility and a large ecosystem of libraries, SAS remains widely used in industries with strict regulatory requirements and existing infrastructure. Transitioning may require learning Python skills such as pandas, NumPy, and scikit-learn, but both tools can complement each other in data environments.

What is a SAS Python job?

A SAS Python job typically involves using both SAS (Statistical Analysis System) and Python for data analysis, statistical modeling, or data engineering tasks. Professionals in this role work with large datasets, performing data manipulation, visualization, and predictive modeling. They often bridge legacy SAS systems with modern Python-based analytics, leveraging libraries like pandas, NumPy, and scikit-learn. These roles are common in industries such as finance, healthcare, and marketing, where data-driven decision-making is crucial.

Can we use Python in SAS?

SAS supports integration with Python through tools like SASPy, which allows SAS users, including those in roles like SAS Python developers, to run Python code within the SAS environment. This enables data analysts and data scientists to leverage Python libraries alongside SAS procedures for data manipulation and analysis.

How hard is it to get a job at SAS?

Securing a SAS Python job typically requires strong programming skills in Python and experience with SAS software, along with relevant data analysis or statistical knowledge. The difficulty depends on the candidate's experience, certifications, and the job market demand, but having a solid technical background and relevant projects can improve chances.
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Sas Python jobs near you
Infographic showing various Sas Python job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 77% In-person, 18% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

SAS/PYTHON MODEL VALIDATION AND MODERNIZATION DEVELOPER

NorthHill Technology

Suitland, MD • Hybrid

Other

Posted 2 days ago

Job description

NorthHill Technology Resources has a need for a SAS/Python Developer to support a Federal Program in Suitland, MD. This is a direct-hire role with our client, a growing Federal Integrator. This is a hybrid opportunity, with 2 days per week onsite.
Job Title:Senior SAS/Python Model Validation and Modernization Developer
Position Overview:
We are seeking a Senior SAS/Python Model Validation and Modernization Developer to join our team. The successful candidate will support statistical model validation, algorithm analysis, and modernization efforts focused on migrating legacy SAS applications and processes to Python-based solutions. This role will work closely with analysts, statisticians, data scientists, and business stakeholders to evaluate model performance, conduct what-if analyses, validate outputs, and ensure the accuracy and reliability of mission-critical analytical systems. Candidates with prior U.S. Census Bureau experience or an active/previous federal clearance are highly preferred.
Key Responsibilities:
  • Test, validate, and analyze statistical, predictive, and analytical models.
  • Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes.
  • Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.
  • Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.
  • Review existing SAS applications, scripts, and macros and develop migration strategies to Python.
  • Convert SAS code, workflows, and analytical processes into maintainable Python solutions.
  • Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy.
  • Develop automated testing frameworks and validation processes for migrated applications.
  • Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.
  • Create technical documentation, validation reports, migration plans, and process diagrams.
  • Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.
  • Support modernization initiatives and continuous improvement of analytical systems and processes.
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.
  • 4+ years of experience developing analytical solutions using SAS and Python.
  • Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.
  • Strong Python programming skills, including experience with Pandas, NumPy, and SQL.
  • Experience testing, validating, and analyzing statistical or predictive models.
  • Experience conducting model performance evaluations and impact analyses.
  • Experience migrating SAS applications, scripts, or workflows to Python.
  • Strong understanding of algorithms, data analysis, and quantitative methodologies.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and documentation skills.
  • Ability to work independently and as part of a team.
  • U.S. Citizenship required.
Preferred Qualifications:
  • Previous experience supporting the U.S. Census Bureau or other federal statistical agencies.
  • Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.
  • Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.
  • Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with Git, CI/CD pipelines, and containerized environments.
  • Experience with SAS Viya and modern analytics platforms.
Key Competencies:
  • Creative problem-solving with a strong visual and storytelling instinct
  • Curiosity and experimentation with emerging technologies, particularly AI
  • Strategic mindset with the ability to connect content to broader campaign goals
  • Strong collaboration and communication skills
  • Ability to balance speed, quality, and innovation

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