Health Data Scientist

Health Data Scientist The Opportunity: Ever-expanding technology such as IoT, machine learning, and artifi cia l intelligence means there’s more structured and unstructured data available today than ever before. As a data health scientist, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experience d data health scientist like you to help our clients find answers in their data to impact important missions, from supporting clinical decision-making to accelerating public health modernization.  As a Health Data Scientist at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.  Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, clinical SMEs, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.  Work with us to use data for good.  Join us. The world can’t wait.  You Have: 3+ years of experience  with PySpark, SQL, and Azure Databricks  Experience supporting collaborative, cross-functional technical teams  Experience with data science and data analytics, including structured, unstructured, or relational Experience with data quality testing Knowledge of public health, healthcare, or health data Ability to verbally communicate complex analytic concepts to clinical and public health stakeholders and execute written communication through the development of standard operation procedures ( SOPs ) , analytic reports, or manuscripts submitted for publication Ability to implement data science solutions and collaborate with developers to create new analytics Ability to develop scripts and programs for converting various types of data into usable formats, and support the team in scaling, monitoring, and operating data platforms and conducting data quality testing Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree Nice If You Have: Experience with FHIR-based data and large-scale data processing Experience with R, Scala, or Java  Experience retrieving, parsing, and processing structured and unstructured data  Experience building scalable ETL or ELT workflows for reporting and analytics  Experience with public cloud platforms such as AWS, Azure, and GCP Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, EMR, and Kafka Experience working with real-time or streaming data systems  Experience with data warehousing, including Redshift, MySQL, and Snowflake Experience with Agile met hodologies  Knowledge of EHR or Health IT systems Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

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