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Data Scientist

Caremark LLC

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Caremark, LLC, a CVS Health company, seeks a Data Scientist to develop analytics applications and models that turn data into useful information. The role builds data solutions and predictive models, analyzes large datasets, and supports deployment of insights for internal teams and customer engagement. Telecommuting is available. The position requires a master’s degree in a listed or related field and two years of relevant experience.

Skills & qualifications

RequiredNice to have

Skills

R ProgrammingHadoopPythonSASSQLCI/CD Pipeline AutomationJenkinsGitControl-MSparkAirflowKafkaHBasePigNoSQLREST APIsSOAP APIsWeb Service APIsOracleRedisCassandraSoftware Development Life CycleApplication CodingProduction DeploymentLarge-Scale Data ApplicationsData ScienceData AnalyticsBackend ServicesCode ReviewsSoftware Development CollaborationRelational Database Concepts

Qualifications

Master's in Listed or Related Field2 Years Related Experience2 Years R, Hadoop, or Python2 Years SAS or SQL2 Years CI/CD Pipeline Tools2 Years Spark, Airflow, Kafka, HBase, Pig, or NoSQL2 Years REST, SOAP, or Web APIs2 Years Oracle, Redis, or Cassandra2 Years SDLC and Best Practices2 Years Application Coding and Deployment2 Years Large-Scale Data Projects2 Years Backend Services and Code Reviews

Full job description

Caremark, LLC., a CVS Health company, is hiring for the following role in New York, NY: Data Scientist to develop and implement analytics applications and models to transform data into meaningful information. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics; and support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses. Telecommuting available. Multiple positions. Masters degree (or foreign equivalent) in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: Programming in R, Hadoop, or Python; SAS or SQL programming languages; Tools to automate CI/CD pipelines: Jenkins, GIT, or Control-M Spark, Airflow, Kafka, Hbase, Pig, or NoSQL; REST, SOAP, or Web Service APIs; Oracle, Redis, or Cassandra; Software Development Life Cycle (SDLC) and best practices; Writing application code and deploying to production; Large scale data applications development, data science, or data analytics projects; Developing backend services, performing code reviews, and collaborating with peers on software development solutions; and Relational database concepts. Apply at http://jobs.cvshealth.com/. OR by email: [email protected]. Must reference job title, location, and Req ID when applying. Requisition ID: R0942305

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