Question: he Data Science Analyst at Aetna, you are responsible for providing insights to business customers about the health of the population, use descriptive analytics, and

 he Data Science Analyst at Aetna, you are responsible for providing

he Data Science Analyst at Aetna, you are responsible for providing insights to business customers about the health of the population, use descriptive analytics, and have knowledge of study methodology, data mining, and modeling aniques sart of your clent presentation, describe the standard set of statistical and descriptive analytics that can be generated from SAS, and your study methodology for helping to clearly communicate results Data Scientist aetna etna 4,072 reviews POSITION SUMMARY Aetna's CinicalAnalytics team is seeking a Data Science Analyst to develop analytic solutions that demonstrate the value of Aetna's innovative products and care management interventions The Data Scientist will provideinsights to business customers about the health of the population and identify successes and opportunities in consumer engagement, health outcomes and healthcare costs. The ideal candidate should be able to appropriately use descriptive and diagnostc analytics and have knowledge of study methodology, data mining and modeling techniques FUNDAMENTAL COMPONENTS Aggregates and performs analysis of structured and unstructured data to solve moderately complex business problems utlizing statistical techniques and mathematical analyses Develops data structures and pipelines for organizing, collecting and standardizing data that can help generate insights and address reporting needs Explores existing data and recommends addbonal sources of data for improvements. BACKOROUND/EXPERIENCE Strong knowledge of statistical methodology.predctive and inferential modeling data mining and exploration and machine leaming techniques Experience using SAS, R, or Python to manipulate large datasets and deploy quantdative techniques ranging from descriptive statistics to deeep leaming Understanding of health care industry and clinical research concepts Demonstrates ability to clearly communicate technical concepts, results and implications tor management and internal stakeholders he Data Science Analyst at Aetna, you are responsible for providing insights to business customers about the health of the population, use descriptive analytics, and have knowledge of study methodology, data mining, and modeling aniques sart of your clent presentation, describe the standard set of statistical and descriptive analytics that can be generated from SAS, and your study methodology for helping to clearly communicate results Data Scientist aetna etna 4,072 reviews POSITION SUMMARY Aetna's CinicalAnalytics team is seeking a Data Science Analyst to develop analytic solutions that demonstrate the value of Aetna's innovative products and care management interventions The Data Scientist will provideinsights to business customers about the health of the population and identify successes and opportunities in consumer engagement, health outcomes and healthcare costs. The ideal candidate should be able to appropriately use descriptive and diagnostc analytics and have knowledge of study methodology, data mining and modeling techniques FUNDAMENTAL COMPONENTS Aggregates and performs analysis of structured and unstructured data to solve moderately complex business problems utlizing statistical techniques and mathematical analyses Develops data structures and pipelines for organizing, collecting and standardizing data that can help generate insights and address reporting needs Explores existing data and recommends addbonal sources of data for improvements. BACKOROUND/EXPERIENCE Strong knowledge of statistical methodology.predctive and inferential modeling data mining and exploration and machine leaming techniques Experience using SAS, R, or Python to manipulate large datasets and deploy quantdative techniques ranging from descriptive statistics to deeep leaming Understanding of health care industry and clinical research concepts Demonstrates ability to clearly communicate technical concepts, results and implications tor management and internal stakeholders

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