Complete analytics (e.g., machine learning, artificial intelligence, advanced statistics) to support patient journey analysis and related analyses of interactions within the healthcare ecosystem; Implement the ideal methodology to apply for each analysis or process based on data availability and limitations; demonstrate curiosity in proposing different approaches with the manager; Implement repeatable, interpretable, dynamic, and scalable machine learning models that can be seamlessly incorporated into existing workflows; Derive insights from research and analyses to address the needs of business stakeholders in close collaboration with the manager; Process and analyses extensive health-related datasets, including Structured, Semi-structured, and Unstructured data
Requirements:
Bachelor’s Degree in Computer Science, Engineering, Economics, Data Science, Marketing Analytics, Statistics or a relevant field required; 2+ years of full-time data analytics experience required; Experience in Machine Learning, including predictive modeling, clustering, feature selection methods, and regularization techniques required; Strong statistics background with hypothesis testing, multivariate linear regression, nonparametric methods; Proficiency in Python and SQL required; Familiar with data visualization tools (e.g., Tableau, PowerBI) highly preferred; Experience with causal inference, such as bootstrapping, regression discontinuity, synthetic controls
Text:
Associate Data Scientist Complete analytics (e.g., machine learning, artificial intelligence, advanced statistics) to support patient journey analysis and related analyses of interactions within the healthcare ecosystem; Implement the ideal methodology to apply for each analysis or process based on data availability and limitations; demonstrate curiosity in proposing different approaches with the manager; Implement repeatable, interpretable, dynamic, and scalable machine learning models that can be seamlessly incorporated into existing workflows; Derive insights from research and analyses to address the needs of business stakeholders in close collaboration with the manager; Process and analyses extensive health-related datasets, including Structured, Semi-structured, and Unstructured data Bachelor’s Degree in Computer Science, Engineering, Economics, Data Science, Marketing Analytics, Statistics or a relevant field required; 2+ years of full-time data analytics experience required; Experience in Machine Learning, including predictive modeling, clustering, feature selection methods, and regularization techniques required; Strong statistics background with hypothesis testing, multivariate linear regression, nonparametric methods; Proficiency in Python and SQL required; Familiar with data visualization tools (e.g., Tableau, PowerBI) highly preferred; Experience with causal inference, such as bootstrapping, regression discontinuity, synthetic controls
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