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Intermediate skill with SAS/SQL programming. Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling.
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Demonstrated experience with: Tableau, Excel, Business Objects, SAS/SPSS, Microsoft SQL Server, MySQL, Oracle, R, Python. Six years of experience working with statistical modeling, research methodology, database management, institutional research.
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Strong skills in data query and processing using such tools as SQL, Python, R or SAS. Experience with SQL, Python, R, SAS. Credit risk modeling and stress testing experience a plus.
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Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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Experience in SQL, SAS, Teradata, and relational databases is highly desired. Requires BS/BA degree in Mathematics, Statistics, or related field and a minimum of 3 years of experience in broad-based analytical, managed care payor or provider environment as well as experience in statistical analysis and healthcare modeling; or any combination of education and experience which would provide an equivalent background.
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We are looking for a Senior Data Scientist who will design studies and utilize cutting-edge predictive modeling techniques, test rigorous hypotheses, and turn data and insights into actionable plans.
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The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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Intermediate technical skills, including advanced Excel modeling and PowerPoint skills and quantitative programming languages (Matlab, SAS, SQL, Dataiku, or Python)Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence.
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Experience working in DB development /Data modeling/SQL/HTML/CSS. Comfort in analytics environments (R, SAS, python/casper,ect. 7+ years of pre-sales experience in SaaS, digital analytics, preferably in top-tier media agency or AdTech vendor.
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Proficient with database concepts and technologies (MS SQL Server), data marts, programming language (SQL/SAS/R/Python), reporting and visualization tools (Power BI/Tableau). Design and build visualization dashboards and reports for projects to accelerate information-to-action at scale using data from disparate data sources and various tools like Power BI, Tableau, SAS, and SSRS.
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Become a part of our caring community and help us put health first. Experience in Big Data environment specifically PySpark and/or Databricks. Experience in Natural Language Processing (NLP) Experience building visualization and reports using Tableau or Power BI.
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Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB. Proficiency in programming languages such as SAS, Python, SQL or Unix. Freddie Mac’s Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities.
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Advanced SAS and SQL knowledge (needed), R, Python, QRM (optional) Knowledge of modeling methodologies used in HCR/CECL preferred. The Associate will serve as an expert resource for risk quantification and modeling.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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A well-known Financial Services Company is looking for a SAS SQL Analytics Consultant in Charlotte NC, Des Moines IA, Minneapolis MN, Chandler AZ, San Antonio TX, St Louis MO, Salt Lake City UT, or Dallas/Ft Worth TX (Hybrid.
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