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Weekend Sas Programmer Jobs in Oregon (NOW HIRING)

Smarsh

OR

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 ...

Netflix

OR

$372K - $600K/yr

The Ads Data Science & Engineering team is responsible for the foundational logic of the Netflix ads business. We develop the analyses, tools, and predictive algorithms that drive member joy and ...

BlueLabs, Inc.

OR · On-site

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our ...

Premier Staffing Solution

... Engineering, Operations, and Procurement to validate cost avoidance and savings initiatives - Assist in building business cases for equipment refreshes and technology upgrades - Provide insights into ...

Premier Staffing Solution

OR

... Engineering, Operations, and Procurement to validate cost avoidance and savings initiatives - Assist in building business cases for equipment refreshes and technology upgrades - Provide insights into ...

Quince

OR

Partner on system improvements and cross-functional initiatives - collaborate with engineering and operations on data instrumentation; contribute to customer experience and supply chain optimization ...

Netflix

OR

$466K - $750K/yr

Strong software engineering skills. Required: Python, TensorFlow, PyTorch Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop Excellent interpersonal, written, and verbal communication skills ...

Netflix

OR · On-site

$466K - $750K/yr

Strong software engineering skills. Required: Python, TensorFlow, PyTorch Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop Excellent interpersonal, written, and verbal communication skills ...

Waymark

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

You will work closely with senior data scientists and engineers to learn how ideas move from prototype to production, and will be expected to take on increasing ownership as you develop in the role.

Ascension

Data Scientist

$96K - $134K/yr

Extract, clean, and preprocess structured healthcare data (EHR, billing, and claims), performing feature engineering to address noise, missingness, and complex clinical data structures. * Evaluate ...

Cisco

Applied AI Scientist

Portland, OR · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

YipitData

Data Scientist, Corporate

OR · On-site +1

Partner closely with Data Engineering to optimize code performance and scale analytical workflows. You will help transition complex statistical calculations from standard database queries into ...

Cisco

Applied AI Scientist

Hillsboro, OR · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

Partner closely with Data Engineering to optimize code performance and scale analytical workflows. You will help transition complex statistical calculations from standard database queries into ...

Intel

Data Scientist/Statistician

Hillsboro, OR · On-site

$116K - $228K/yr

Our team is looking for an engineer with background in statistics and data science with strong technical skills in applied statistics, good communication skills, ability to also help support and ...

Procom Services

211854 / Data Analyst

Hillsboro, OR · On-site

Web design and Multimedia programmer * Quantitative research * Unstructured data analysis * Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level ...

YipitData

OR

Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes ...

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Showing results 21-40

All JobsSas Programmer JobsWeekend Sas Programmer JobsWeekend Sas Programmer Jobs in Oregon

Weekend Sas Programmer information

See Oregon salary details

$15

$51

$84

How much do weekend sas programmer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for weekend sas programmer in Oregon is $51.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.35 and $65.05 per hour, depending on experience, location, and employer.

What are the typical responsibilities of a Weekend SAS Programmer, and how does the role fit within the overall data team?

As a Weekend SAS Programmer, you are primarily responsible for developing, testing, and optimizing SAS programs to manage, analyze, and report on large datasets—often to meet tight deadlines or provide critical weekend support. The role may involve collaborating remotely with project managers, analysts, or other programmers to ensure data integrity and timely project delivery. Weekend shifts typically require a high level of autonomy, but you may also participate in virtual meetings or provide status updates to the weekday team. This structure allows organizations to maintain continuous data operations and quickly address time-sensitive analytical needs, making your contributions vital to team efficiency.

What are the key skills and qualifications needed to thrive in the Weekend SAS Programmer position, and why are they important?

To thrive as a Weekend SAS Programmer, you need strong expertise in SAS programming, data analysis, and statistical methodologies, often supported by a degree in computer science, statistics, or a related field. Proficiency with SAS software, SQL, and experience with data management tools or relevant certifications such as Base SAS Certification are important. Effective time management, communication skills, and the ability to work independently are key soft skills in this role. These abilities ensure accurate data handling and reporting within limited timeframes, supporting business or research objectives during non-standard working hours.

What is a Weekend SAS Programmer?

A Weekend SAS Programmer is responsible for developing, maintaining, and troubleshooting SAS programs, typically on weekends. These professionals work with datasets, generate reports, and support data analysis for businesses or research projects. The role may involve data cleaning, statistical analysis, and automating processes using SAS. Often, this position is suited for professionals seeking part-time or flexible work arrangements.

What are the most commonly searched types of Sas Programmer jobs in Oregon? The most popular types of Sas Programmer jobs in Oregon are:
What are popular job titles related to Weekend Sas Programmer jobs in Oregon? For Weekend Sas Programmer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Weekend Sas Programmer jobs in Oregon look for? The top searched job categories for Weekend Sas Programmer jobs in Oregon are:
What cities in Oregon are hiring for Weekend Sas Programmer jobs? Cities in Oregon with the most Weekend Sas Programmer job openings:
Weekend Sas Programmer jobs near you
Infographic showing various Weekend Sas Programmer job openings in Oregon as of August 2026, with employment types broken down into 43% Full Time, 4% Part Time, and 53% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $107,768 per year, or $51.8 per hour.

Lead Data Scientist

Smarsh

OR

Full-time

Re-posted 21 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
$166,000 - $214,000 a year
 
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.
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