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Booz Allen Hamilton · 13 hours ago

Health Data Scientist

Bethesda, MD

Full-time

Hybrid

Mid Level

$69K/yr - $158K/yr

3+ years exp

Booz Allen Hamilton is a consulting firm that focuses on pushing the boundaries of data-driven health interventions. As a Health Data Scientist, you will analyze complex datasets to deliver actionable insights that impact public health and private sectors, utilizing your expertise in data analytics and behavioral research.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Leverage statistical programming languages, such as Python or R, to develop data models, analyze quantitative datasets, and deliver evidence-based insights

Conduct quantitative and qualitative research, including interviews, surveys, and behavioral modeling

Apply statistical analysis, data preprocessing techniques, and feature engineering

Conduct methodologies to inform healthcare solutions, such as cluster analysis or burden-of-illness calculations

Collaborate with various stakeholders and large health data sets derived from real-world data, including from public health agencies, healthcare systems, and community-based organizations, to guide data-driven decision-making

Create health data dashboards and communicate findings using tools such as Tableau or Power BI

Work with large datasets and query databases using SQL or Spark

Present complex findings to technical and non-technical audiences

Qualification

PythonStatistical analysisData modelingMachine LearningSQLTableauCloud servicesBehavioral researchCommunication skillsCollaboration

Required

3+ years of experience leveraging statistical programming languages, such as Python or R, to develop data models, analyze quantitative datasets, and deliver evidence-based insights

Experience in quantitative and qualitative research, including interviews, surveys, and behavioral modeling

Experience with statistical analysis, data preprocessing techniques, and feature engineering

Experience conducting methodologies to inform healthcare solutions, such as cluster analysis or burden-of-illness calculations

Experience in collaborating with various stakeholders and large health data sets derived from real-world data, including from public health agencies, healthcare systems, and community-based organizations, to guide data-driven decision-making

Experience in creating health data dashboards and communicating findings using tools such as Tableau or Power BI

Experience in working with large datasets and querying databases using SQL or Spark

Ability to present complex findings to technical and non-technical audiences

Public Trust

Doctorate degree in a Biological Sciences, Epidemiology, Public Health, Social and Behavioral Sciences, or Data Science field