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Remote Sas Programmer Jobs in Decatur, GA (NOW HIRING)

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to ...

corpay

Data Analyst II - Vendor Success

Richmond, VA · On-site +1

$50K - $57K/yr

You will report directly to the Vendor Success Manager and regularly collaborate with Operations, Implementation, and Engineering teams. How We Work As a Data Analyst - Vendor Success, Corpay will ...

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All JobsRemote Sas Programmer JobsRemote Sas Programmer Jobs in Decatur, GA

Remote Sas Programmer information

See Decatur, GA salary details

$14

$47

$77

How much do remote sas programmer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote sas programmer in Decatur, GA is $47.84, according to ZipRecruiter salary data. Most workers in this role earn between $33.56 and $60.10 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, and may involve collaboration with teams across different locations.

Does SAS have remote jobs?

Remote SAS Programmer positions are available in many organizations, especially as data analysis and statistical programming can often be performed remotely. These roles typically require proficiency in SAS software, strong analytical skills, and sometimes certifications, with many companies offering flexible or fully remote schedules.

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.

How much do SAS programmers make?

SAS programmers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior or specialized SAS programmers with certifications and advanced skills can earn higher salaries, especially in healthcare, finance, and pharmaceutical sectors. Remote positions may also influence salary ranges.

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.

How to make 70000 a year from home?

A remote SAS programmer can earn $70,000 or more annually by gaining strong proficiency in SAS software, building a solid portfolio, and obtaining relevant certifications. Consistently applying for high-paying freelance or full-time remote roles, and developing specialized skills in data analysis or healthcare analytics, can help reach this income level.

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
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Remote Sas Programmer jobs near you
Lead Data Scientist

Lead Data Scientist

Smarsh

Atlanta, GA • Remote

Full-time

Posted 15 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You’ll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior—including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.