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Remote Sas Programmer Jobs in San Ramon, CA (NOW HIRING)

Figma

AI Applied Scientist

San Francisco, CA · On-site +1

Work in concert with product and infrastructure engineers to improve Figma's products through AI powered features * Collaborate closely with product managers and engineers to transform user feedback ...

Meta

Data Scientist (Technical Leadership)

Seattle, WA · On-site +1

$210K/yr

Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions * Navigate ambiguity and complexity by forming clear ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications. * You will collaborate with a diverse team of ...

Figma

Data Scientist, Finance

San Francisco, CA · On-site +1

Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data * Conduct deep-dive analyses that inform strategic decisions ...

Initio Capital

Data Strategy Analyst

San Francisco, CA · On-site +1

... remote, flexible environment - Collaborate with operators, founders, consultants, analysts, and technical teams WHAT WE'RE LOOKING FOR - Strong analytical thinking and written communication ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

With a charge to uplevel Figma's use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data ...

Nextdoor

Data Scientist - Search

San Francisco, CA · On-site +1

We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

Employees approved for remote work must perform their duties from a single, company-approved based location #LI-Remote Why join Eight Sleep? Innovation in a culture of excellence Join us in a ...

LinkedIn

Staff Data Scientist

San Francisco, CA · On-site +1

This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and ...

Parafin

Data Scientist, Underwriting

San Francisco, CA · Remote

Collaborating with engineering to build a modular real-time underwriting system * Building a simulation platform to model and evaluate conversion and risk exposure across varied configurations for ...

Snorkel AI

Research Scientist - RL Training

Redwood City, CA · On-site +1

$200K - $350K/yr

We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever ...

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Showing results 41-60

All JobsSas Programmer JobsRemote Sas Programmer JobsRemote Sas Programmer Jobs in San Ramon, CA

Remote Sas Programmer information

See San Ramon, CA salary details

$16

$54

$88

How much do remote sas programmer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote sas programmer in San Ramon, CA is $54.76, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $68.75 per hour, depending on experience, location, and employer.

Can you work remotely as a SAS programmer?

Yes, SAS programmers can often work remotely, especially as many organizations adopt flexible work arrangements. Remote SAS programming roles typically require strong skills in SAS software, data analysis, and communication tools like email and video conferencing. Availability of remote work depends on the employer and specific job requirements.

Are remote SAS programmers in demand?

Remote SAS programmers are in steady demand due to their specialized skills in data analysis, statistical programming, and familiarity with SAS software. Many industries such as healthcare, pharmaceuticals, and finance seek these professionals for data management and reporting tasks, often offering remote work options. The demand is expected to remain stable as data-driven decision-making continues to grow.

What is a remote SAS programmer?

A Remote SAS Programmer is a professional who uses SAS (Statistical Analysis System) software to manage, analyze, and interpret data while working from a remote location. They design and write SAS programs for statistical analysis, data management, and reporting, often for industries like healthcare, finance, or research. Remote SAS Programmers may collaborate with teams virtually, ensuring data accuracy and providing insights without being physically present in an office. They need strong analytical skills, proficiency in SAS programming, and the ability to work independently.

What does a remote SAS programmer do?

SAS software provides statistical analysis, business intelligence, and data management tools for businesses and organizations. As a remote SAS programmer, you have a variety of software development duties. For example, you may develop new applications or find new uses for already-existing applications. You may configure tools to work in specific fields or code dashboards for end users. Your responsibilities and focus vary depending on the industry. They may be related to market and business research or scientific data analysis.

Does remote SAS programmer have remote jobs?

Remote SAS programmers can find remote job opportunities, as many companies hire for this role to analyze data and generate reports remotely. These positions often require proficiency in SAS software, data management skills, and sometimes certifications, with flexible schedules being common in remote work environments.

What is the difference between Remote Sas Programmer vs Remote Data Analyst?

AspectRemote Sas ProgrammerRemote Data Analyst
Required credentialsTypically requires SAS certification, degree in computer science, statistics, or related fieldOften requires a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft certifications are common
Work environmentPrimarily focused on coding, data manipulation, and statistical analysis using SAS softwareInvolves data collection, cleaning, analysis, and reporting, often using various tools including Excel, SQL, and visualization software
Employer and industry usageUsed mainly in healthcare, pharmaceuticals, and clinical research industriesWidely used across finance, marketing, healthcare, and technology sectors

While both roles involve data analysis, Remote Sas Programmers focus on coding and statistical modeling using SAS software, primarily in clinical and healthcare industries. Remote Data Analysts have a broader scope, working with various tools and industries to interpret data and generate reports.

What are some common challenges faced by remote SAS programmers, and how can they be overcome?

Remote SAS Programmers often face challenges such as communicating effectively with distributed teams, managing time zone differences, and ensuring secure access to sensitive data. To overcome these, it's important to establish clear communication routines, use collaborative project management tools, and follow strict data security protocols as outlined by your employer. Additionally, staying proactive in seeking feedback and clarifying project requirements can help ensure smooth workflow and successful project delivery.

What are the key skills and qualifications needed to thrive as a remote SAS programmer, and why are they important?

To thrive as a Remote SAS Programmer, you need a strong background in statistical analysis, programming with SAS, and typically a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and data management tools, as well as knowledge of clinical data standards like CDISC, is often required, and certifications such as SAS Certified Base Programmer can be advantageous. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help set candidates apart in virtual environments. These competencies ensure accurate data analysis, adherence to project standards, and efficient collaboration with cross-functional teams from a distance.
More about Remote Sas Programmer jobs
What job categories do people searching Remote Sas Programmer jobs in San Ramon, CA look for? The top searched job categories for Remote Sas Programmer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Sas Programmer jobs? Cities near San Ramon, CA with the most Remote Sas Programmer job openings:
Remote Sas Programmer jobs near you
Infographic showing various Remote Sas Programmer job openings in San Ramon, CA as of August 2026, with employment types broken down into 53% Full Time, 45% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $113,908 per year, or $54.8 per hour.

Staff Data Scientist- Pricing Science

CSC Generation

San Francisco, CA • Remote

Full-time

Re-posted 2 days ago

Job description

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.
 
Reports to: Director of Finance and Business Intelligence
Location: Remote — US or Canada
About the Role
As our Staff Data Scientist, you will design and ship production pricing systems such as demand forecasting, price elasticity modeling, dynamic pricing and the experimentation infrastructure needed to measure whether they actually work.
 
This is a hard, high-stakes problem: your models will directly influence margin and revenue decisions across a portfolio of brands operating at scale. You will own the full arc from framing ambiguous business problems as well-defined ML tasks through to monitoring models that hold up in production.
 
At six months, success looks like at least one pricing model shipped to production with measurable business impact and an experimentation framework in place that your stakeholders trust. If you have spent time building pricing systems from the ground up, not just consuming them, and you care deeply about rigorous causal inference and honest model evaluation, this role was written for you.
What You'll Do
  • Design and build production ML systems for pricing, demand forecasting, and related revenue problems
  • Frame ambiguous business problems as well-defined ML tasks with clear success criteria and measurable outcomes
  • Set the standard for model evaluation, validation, and monitoring — including knowing when CV metrics are misleading and when holdout testing is the only honest answer
  • Build robust predictive models across classification, regression, time series, and causal inference
  • Identify and prevent data leakage, overfitting, and other failure modes before they reach production
  • Design and analyze experiments to measure causal impact of pricing decisions
  • Debug models that fail in production — understand why they fail, not just that they do
  • Translate model limitations, uncertainty, and risk clearly to both technical and non-technical stakeholders
  • Partner with product, engineering, and business teams to ensure ML solutions solve real problems
Required Qualifications
  • 7+ years of applied ML / data science experience with a track record of production systems that delivered measurable business impact.
  • Deep experience in pricing, demand forecasting, or revenue optimization — you have built these models end-to-end, not just consumed them.
  • Expert-level Python and SQL.
  • Deep understanding of ML fundamentals beyond API-level usage, including model evaluation, validation, and failure mode diagnosis.
  • Strong grounding in causal inference and experimental design, including the ability to distinguish correlation from causal result.
  • Ability to work with messy, real-world data and make pragmatic tradeoffs under ambiguity.
  • Familiarity with cloud ML platforms (GCP/Vertex AI or AWS/SageMaker).
  • MS or PhD in Statistics, Computer Science, Operations Research, or a related quantitative field.
Preferred Qualifications
  • Experience in e-commerce, retail, marketplace, or pricing-intensive industries such as airlines, ride-sharing, or fintech.
Why Join
The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.
  • Portfolio-Level Impact: Your models will influence pricing and margin decisions across a $1B+ portfolio of brands — the output of your work is visible at the executive level from day one.
  • AI-First Skill Building: Get hands-on with production ML infrastructure, causal inference at scale, and the Genesis platform — building a modern, applied ML skill set on real retail data problems.
  • Ownership: You will own the full problem from framing through production, with the autonomy to make technical decisions and the stakeholder access to see them through.
  • Competitive Benefits (CAN): Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.
  • Competitive Benefits (US): Comprehensive benefits including paid time off, 401(k) match, medical, dental, vision, supplemental coverage, and employee discounts across portfolio brands.
Interview Process
  1. Recruiter Screen: 30-minute call to cover your background, the role, and logistics.
  2. Hiring Manager Interview: Conversation with the Director of Finance and Business Intelligence focused on your pricing science experience, approach to ambiguous ML problems, and how you've driven production impact.
  3. Technical / Case Discussion: Deep dive into a pricing or demand forecasting problem — expect questions on model evaluation, causal inference, and production failure modes. Cross-functional stakeholders may join.
  4. Executive Interview: Final conversation with senior leadership.
  5. Reference Checks: Conducted in parallel with the final stages where possible.
  6. Offer: We move quickly for the right candidate.
For US-based candidates, this posting is intended for candidates that reside in the following states:
AZ, DE, FL, GA, IN, LA, MI, MS, MO, NV, NC, OK, PA, TN, TX, UT, WV, WI, and WY.
 
For Ontario applicants, please note that this posting is for an existing vacancy.
 
The CSC Generation family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws. 
 
The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact hrbenefits@cscshared.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

CSC Generation logo

About CSC Generation

Sourced by ZipRecruiter

CSC Generation is a multi-brand technology platform based in Merrillville, IN, United States. The organization operates in the retail sector and utilizes technology to save retail companies from going into bankruptcy, while also offering consumers the ability to lease their purchases. Founded by serial entrepreneur, Justin Yoshimura, CSC Generation has leveraged its proprietary technology and customer database to quickly revitalize distressed retail brands. The company's mission revolves around the concepts of reinvention and innovation as it aims to redefine traditional retail and direct-to-consumer models in today's digital age. Notably, the company has, to date, acquired several brands such as DirectBuy, Killion, and most notably, Z Gallerie, growing fast within the e-commerce sector.

Company size

501 - 1,000 Employees

Headquarters location

Merrillville, IN, US

Year founded

2016

View All CSC Generation Jobs