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Company

Guidehouse · 13 hours ago

AI/ML Health Data Science Consultant

US - Remote (Any location)

Full-time

Remote

Entry Level

$95K/yr - $142K/yr

1+ years exp

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No H1B

Security Clearance Required

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Responsibilities

Help clients maximize the value of their data and automate business processes.

Work with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.

Enable clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.

Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data Science ExperiencePythonRSQLData AnalysisAgile ProcessesStatistical AnalysisPredictive ModellingMachine LearningArtificial IntelligenceBI ToolsHealthcare Claims KnowledgeEMR/EHR DataBusiness Development

Required

1+ years of data science experience

Bachelor's degree

Experience with Python or R

Experience with SQL for data transformation and reporting

Excellent written and oral communication to various audiences, including various levels of management and external clients, in a professional environment

Experience analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis

Familiarity with Agile processes and tools, such as Kanban and git

Ability to obtain a Public Trust clearance

Preferred

Bachelor or Master's degree in in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science or Data Analytics

Knowledge of healthcare claims processing systems and coding systems such as ICD, CPT, and DRG

Experience with EMR/EHR data and standards-based health terminology such as SNOMED, CDA, and FHIR

Experience with statistical analysis, predictive modelling, simulation, machine learning, or artificial intelligence

Experience selecting and applying appropriate analytical techniques

Experience visually communicating data analysis visually, including bespoke analyses and BI Tools such as Power BI or Amazon QuickSight

Experience collaborating and working in a team environment, as well as the ability to work independently

Experience identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor

Experience with business development including RFP/RFQ responses, developing white papers/concept papers, and building and demonstrating prototype solutions to customers