1 to 25 of 90 Permanent SAS Jobs

support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯

software Experience designing and developing code using Java and JavaScript Experience developing CI/CD pipelines with GitHub and Git Actions Experience as a Mulesoft developer Experience as a SAS Viya Administrator Experience developing code in C# Preferred Skills: Proven ability to write well designed, testable, efficient code by using best software development practices Excellent oral and written communication More ❯

that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution. This position is a contract appointment that is 100% fixed, and ends three More ❯

to senior-level audiences. Coach direct and indirect reports on personal growth and analytical skills by conducting training on leading analytical tools and techniques including Hadoop, Hive, Python, R, SAS, Scala, Spark, Power BI and SQL. This position will require up to 10% travel within the U.S. to client sites and other EXL offices. Position may work at various More ❯

systems, including MS Excel spreadsheets and MS Access databases; data visualization tools, including MS Excel, Tableau, and Snowflake; and Agile methodologies, C++, ER-win, MySQL Server, Python, R, RDBMS, SAS, Scrum methodologies, and SQL. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $80,000.00 - $155,000.00 annually Any interested candidate More ❯

build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring More ❯

Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Proficiency in cloud platforms (AWS, Azure, GCP). Knowledge of CI/CD pipelines More ❯

Familiarity with containerization and orchestration using Docker and Kubernetes model registries such as MLflow and monitoring and observability practices. Preferred Certifications • AWS Certified Machine Learning Specialty • TensorFlow Developer Certificate • SAS certifications or equivalent analytics credentials • CompTIA Security plus or equivalent security focused certification • Certified Kubernetes Application Developer Why Join QSS? At Quantum Science Solutions (QSS), we deliver secure, scalable More ❯

optimization, and data analysis Demonstrated ability to develop and brief decision support tools or assessments to senior leaders Familiarity with statistical tools and languages (e.g., R, Python, MATLAB, or SAS) Preferred Qualifications: Completion of FA49 (Army ORSA) or similar military ORSA training pipeline Experience supporting Combatant Commands, the Joint Staff, or DoD components Experience supporting Information Operations, Strategic Communications More ❯

conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering (K-means, density, etc) • Experience using tools such as tools such as MATLAB, SAS, and InfoSphere • Experience with a combination of database tools and cloud components supporting ETL, such as: SQL, mySQL, and Data Lakes, AWS S3, IBM Cloud, and/or Microsoft More ❯

or more programming languages such as JavaScript, Python, or R for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation. Familiarization with modeling software (eg. FME, SPSS, SAS) for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation. Demonstrated experience programmatically connecting to database and web-based data sources. Demonstrated knowledge and experience in data More ❯

of education, training and experience in lieu of degree Req • Knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language • Good organizational, interpersonal, leadership and communication skills • Ability to effectively manage multiple tasks and projects • Excellent accuracy and attention to detail More ❯

Oracle/Cerner CPAM Billing and claims platforms: SSI Clearinghouse, 3M 360 Encompass (Institutional & Professional Coding), Alpha II Claim Scrubber, RevSpring Data analysis/reporting tools: Excel, Power BI, SAS, Tableau, HealtheAnalytics Reports and dashboards: HealtheAnalytics, Discern Reporting Portal, Lights On Network Subject matter expertise in one or more of the following RCM domains: Patient Accounting, Supply, PathNet, Business More ❯

quantitative/risk content " 8+ years of experience in related/relevant areas " Previous exposure to large projects involving technical IT considerations " Strong technical knowledge with any of these (SAS, SQL, Python, Tableau, BI Tools, Qlik Sense etc.) " Knowledge of banking wholesale credit risk " Proven ability to manage high volume data with embedded data quality procedures " Understanding of banking More ❯

systems: Oracle/Cerner CPAM Billing/claim systems: SSI Clearinghouse, 3M 360 Encompass, Alpha II Claim Scrubber, RevSpring (Patient Statements) Data analytics and reporting tools: Excel, Power BI, SAS, Tableau, HealtheAnalytics, Discern Reporting Portal, Lights On Network More ❯

international relations, political science, mathematics, business management, or economics; or the equivalent Preferred: Ability to present findings in a polished way Proficiency with statistics and dataset analytics (using SPSS, SAS, Excel) Entrepreneurial mindset, with an innovative approach to business planning Knowledge of DoD CI/HUMINT policies and structure. Familiarity with emerging intelligence technologies and their applications in CI More ❯

all rule and model executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯

all rule and model executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally to a range of stakeholders Proficiency in More ❯

professional programmers as part of a study team to develop datasets, tables, listings and figures to aid clinical trial reporting. Participate in programming activities for clinical trial reporting using SAS and/or R programming languages, whilst adhering to data standards and regulatory requirements. Conduct quality control checks on clinical trial data and outputs, identifying and resolving discrepancies or More ❯