We’re searching for an Associate Data Scientist, someone who works well in a fast-paced setting. In this position you will deliver data analytics and support the development and implementation of advanced analytic tools to meet the needs of teams throughout the organization. Works with a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies. Collaborates with clinical, business, and information systems team members to ideate and create new analytic solutions impacting patient care and hospital operations. Partners with subject matter experts to understand the relationship between workflows and data and uses that data to create innovative solutions that support and advance targeted outcomes. Exercises knowledge of descriptive, predictive, and multivariate statistical techniques and applications, and database analysis tools and techniques, to develop strategic insights to drive operational and clinical goals.
Think you’ve got what it takes?
Job Duties & Responsibilities
• Creates data models and generates data insights.
• Generates and communicates business and clinical insights, using various techniques and understanding the strengths and risks of different approaches to data analysis.
• Analyzes large, noisy datasets and identifies meaningful patterns that provide actionable results. Data sources may include the Enterprise Data Warehouse, various source systems and databases, and data from external sources such as the Census Bureau. Source data may include both structured and unstructured data.
• Evaluates and communicates data quality within the context of the problem being analyzed and implements appropriate data cleaning techniques when preparing data.
• Performs basic and advanced statistical analyses, modeling, interpretation, documentation, and presentation.
• Builds and tests statistical, optimization, and machine learning models, including regression, classification, clustering, natural language processing, deep learning, and/or statistical modeling. Applies best practices for data preparation, statistical methods, and approaches to data analysis to ensure valid and reliable results.
• Communicates data insights and acts as a data storyteller by translating data analyses into easily understandable dialogue and terms to influence business decisions or actions.
• Plans, communicates, and manages risk related to tasks.
• Participates in overall analytics and application support delivery activities.
Skills & Requirements
• Master's Degree data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.) required
• 1 year experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning preferred