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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Required Qualifications:Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field.
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Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field. The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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Training or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others. Master’s degree (or its equivalent) in Data Analytics, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) with more than 3 years of relevant experience; or bachelor’s degree (or its equivalent) with >4-5 years of relevant experience.
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Develop and maintain moderate-to extremely-complex computer programs using 4GL programming languages (such as SAS, R, SQL) and other database technology (DB2, Teradata, and Oracle.
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Develop and execute SQL/Oracle/SAS/Documentum queries based on business application EDD requirements. BS in Computer Science, Computer Information Systems or equivalent experience.
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Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well.
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Superior computer skills are required, with knowledge in relevant software packages and languages such as, but not limited to, SAS, R, Python, SQL, Java, and. ● Prior experience with R, SAS or SPSS, other data mining tools, databases, and computer programming.
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Bachelor’s degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management, or Computer Science and 5+ years of related experience required.
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Candidate will have experience with statistical software such as SAS, R, Matlab, or Stata, SQL, a scripting language such as Python or Perl, Bourne shell scripting, experience working in a Unix environment, and familiarity with code version control.
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Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). Education Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (e.g., physics, math, engineering, etc.
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College Degree in Computer Science, Information Technology, or similar. Knowledge in Technology such Cloud (Azure), Visual Studio, SharePoint, SAS, Power Bi are important. SQL Server skills including SQL objects development, performance tuning, data analysis and integration.
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Bachelors degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 4 years of experience as a BI Developer, Data Analyst, Business Analyst, Operations Analyst, Data Engineer, Database Developer, and/or Technical/Systems/Application Analyst OR Minimum of 6 years of experience as a BI Developer, Data Analyst, Business Analyst, Operations Analyst, Data Engineer, Database Developer, and/or Technical/Systems/Application Analyst.
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Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 5+ years of experience or Bachelor’s degree and 7+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Education: Degree in Auditing, Accounting, Finance or equivalent/Bachelor s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent.
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