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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) The Senior's primary responsibility is to leverage strong technical skills (SQL, R, Python, and Tableau) and healthcare industry knowledge (payor, provider, pharmacy, public health, epidemiology, etc.
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Strong experience in data research using SQL/SAS/R/Python for data analysis. Conduct data exploration, quantitative research and data mining to uncover money laundering patterns. Write SAS/SQL/VBA/Python code to extract data to perform data analysis and research for data integrity.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience with large dataset mining tools and open-source programming tools (e.g., R, Python). Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Possess a minimum of 12 years of data mining and modeling experienceProficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applicationsAdvising stakeholders on advanced data mining and technical matters, research, and applications.
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Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI). Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI.
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Knowledge in probability, statistical analysis and reliability engineering Ability to research and analyze information of considerable complexity and draw valid conclusions Experience with software tools (SAP, Business Objects, R, Python, SQL and Excel in a big data environment, etc.
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Knowledge in multiple of the following programming languages: R, Python, Stata, SAS, SQL. Knowledge in at least one of the following programming languages: R, Python, SAS, Stata.
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Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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Data analysis, modeling, network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python. - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.
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In addition to the responsibilities listed below, this position is also responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.
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Technical skill and experience in data analytics, solution creation, SAS/SQL/VBA/Python programming are critical to the daily work. 7 or more years of relevant experience in AML / BSA regulatory compliance, data analytics, data validation, risk management Experience working with KYC and AML data.
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The EFCC Financial Intelligence Unit (FIU) is responsible for the collection, analysis and surveillance of data sources relevant to the identification and investigation of unusual financial transaction activities.
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Robust Data and programming skills: collection, transformation and mining (R/Python, SQL); Implement and/or re-design internal procedures for data analytics surrounding the modeling of natural event risks (R/Python/SQL/PowerBI.
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Hiring Transparency
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