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Sas Python Jobs in California (NOW HIRING)

Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience in a related field Experience with Kaiser ...

... SAS, Python, R and Tableau MS/PhD in quantitative fields such as Statistics, Mathematic, Finance, Economics, Operations Research. Intuit provides a competitive compensation package with a strong pay ...

R, SAS, Python) and strong statistical analysis skills * Prior experience with real-world data analysis and evidence generation is a plus * Excellent verbal and written communication skills, with ...

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Sas Python information

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$13

$57

$85

How much do sas python jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for sas python in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 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.
What job categories do people searching Sas Python jobs in California look for? The top searched job categories for Sas Python jobs in California are:
Quant Research Analyst - Spec Fin / Securitization

Quant Research Analyst - Spec Fin / Securitization

PIMCO

Newport Beach, CA • On-site, Remote

Full-time

Posted 16 days ago


Job description

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world's largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.
Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.
JOB DESCRIPTION
We are seeking a senior Quant Analyst to join our Alternatives Investment team in Newport Beach. Our Alternatives business has continued to expand fund offerings and remains a key driver of growth for the firm investing in consumer credit: mortgage/auto/loan/student and other esoteric asset classes spanning SME loans and accounts receivable finance across the US, APAC and Europe.
This role offers the platform to partner with an industry leading deal-team in conducting empirical analysis to supplement the underwriting process in driving deals to conclusion.
Our ideal candidate will have a track record of partnering with the front office in deploying quantitative techniques to analyze specialty finance / securitization investment opportunities and be excited by the prospect of working on complex deals.
RESPONSIBILITIES
  • Assist in sourcing and evaluating consumer loan pools and other specialty finance assets across mortgage, auto, and student loan sectors.
  • Lead analysis, pricing, and relative valuation of securitized consumer loan pools and related assets.
  • Support ongoing portfolio management and performance monitoring of investments.
  • Develop and maintain consumer credit outlooks and market insights.
  • Engage with esoteric asset classes such as SME loans, trade finance, and accounts receivable finance.
  • Collaborate with cross-functional teams to enhance investment strategies and risk management.
REQUIREMENTS
  • Advanced degree in a quantitative discipline such as mathematics, science, engineering, statistics, or physics
  • Statistical modeling expertise with consumer credit: mortgage/auto/loan/student. Familiarity with Intex and bond cash flow modeling a plus
  • Strong quantitative skills, specifically financial mathematics, probability and statistics:
    • 5+ years of front office quant experience at a top sell or buy side firm
  • Strong programming skills and numerical problem solving techniques, proficiency with scripting languages (Python or Slang). Experience analyzing large datasets using R/SAS/Python and SQL
  • Strong attention to detail and ability to deliver results. Self-starter who is accountable, low ego, and motivated by integrating with the trade floor
  • Able to articulate issues and explain herself/himself to portfolio managers and developers
  • Ethical, collaborative, organized, flexible and high energy
PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance.
Salary Range: $ 205,000.00 - $ 305,000.00
Equal Employment Opportunity and Affirmative Action Statement
PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.
Applicants with Disabilities
PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.