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Remote Sas Programmer Jobs in California (NOW HIRING)

Remote may be considered in exceptional cases. RESPONSIBILITIES: * Raise capital to fund the growth ... Bachelor's degree in finance, economics, engineering or related field with a minimum of 8+ years of ...

New

Senior Manager, Capital Markets

Irvine, CA · On-site +1

$130K - $170K/yr

Remote may be considered in exceptional cases. RESPONSIBILITIES: * Raise capital to fund the growth ... Bachelor's degree in finance, economics, engineering or related field with a minimum of 8+ years of ...

New

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Master ... programming languages including C/C++, C#, Java, FORTRAN, MATLAB, SAS as well as mathematical or ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of ...

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Remote Sas Programmer information

See California salary details

$14

$48

$78

How much do remote sas programmer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote sas programmer in California is $48.36, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $60.72 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 companies 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's policies and the specific job requirements.

Does SAS have remote jobs?

Remote SAS Programmer positions are available in many organizations, especially as remote work has become more common in data analysis and programming roles. These jobs typically require proficiency in SAS software, strong analytical skills, and sometimes certifications, with many companies offering flexible or fully remote schedules.

Will AI replace SAS programmers?

AI is unlikely to fully replace SAS programmers, as their role involves complex data analysis, coding, and interpretation that require human expertise. Instead, AI tools can assist by automating routine tasks, allowing programmers to focus on more advanced and strategic work. Staying updated with programming skills and understanding AI integration can enhance job security in this field.

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. The role often requires knowledge of SAS software, data management, and statistical analysis, with opportunities available in both remote and on-site positions due to ongoing data-driven decision-making needs.

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.

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.
What are the most commonly searched types of Sas Programmer jobs in California? The most popular types of Sas Programmer jobs in California are:
What job categories do people searching Remote Sas Programmer jobs in California look for? The top searched job categories for Remote Sas Programmer jobs in California are:
What cities in California are hiring for Remote Sas Programmer jobs? Cities in California with the most Remote Sas Programmer job openings:
Infographic showing various Remote Sas Programmer job openings in California as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $100,594 per year, or $48.4 per hour.

Senior Manager, Data Science

BMO Capital Markets

San Francisco, CA • On-site, Remote

$122K - $228K/yr

Full-time

Medical, Life, Retirement

Posted 18 days ago


Job description

Application Deadline:

06/29/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is ideally a hybrid role but open to remote

Role Overview


We are looking for a Senior Data Scientist with a strong cando mindset, proven ability to ship productiongrade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive endtoend delivery of Data & AI solutions-from problem framing and data acquisition to model development, deployment, and ongoing optimization-while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

  • Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
  • Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
  • Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
  • Use strong programming skills to prepare complex datasets (structured, semistructured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

  • Translate complex analytical findings into clear, actionable insights that influence decisionmaking at all levels.
  • Present recommendations in a compelling narrative that resonates with both technical and nontechnical stakeholders.
  • Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

  • Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
  • Establish and promote best practices in model development, MLOps, governance, and data quality.
  • Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

  • Serve as a subject matter expert for stakeholders across the enterprise.
  • Partner with crossfunctional teams-including Engineering, Product, and Business-to deliver solutions that scale.
  • Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization's data and AI vision.
  • Mentor and guide other data scientists; contribute to internal training, tools, and knowledgesharing.

Execution & Change Leadership

  • Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
  • Lead change management and communication efforts associated with analytics initiatives.
  • Implement processes and controls that ensure highquality, consistent delivery of analytical work.

Qualifications

  • 7+ years of relevant experience in data science, machine learning, or applied analytics.
  • Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field-or equivalent experience.
  • Proven track record of shipping models to production and maintaining them at scale.
  • Expertise in machine learning and deep learning algorithms and frameworks.
  • Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
  • Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
  • Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
  • Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
  • Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.