The Manager, Predictive Analytics and Data Science is responsible for serving as the leader, subject matter expert, teacher, and mentor of the Predictive Analytics and Data Science team.
Lead a team of data scientists and analysts to develop and execute predictive analytics projects and initiatives
Collaborate with cross-functional teams, including IT, healthcare operations, finance, and clinical teams, to identify opportunities for data-driven solutions and predictive modeling applications
Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets
Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care
Utilize Natural Language Processing (NLP) algorithms and techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights
Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations
Stay abreast of emerging trends, tools, and techniques in predictive analytics, data science, and healthcare informatics to drive innovation and continuous improvement
Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making
Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results
Mentor and develop team members, fostering a collaborative and innovative work environment
Ensure compliance with data privacy and security regulations and maintain the highest standards of data integrity

Requirements

Bachelor’s Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience
Master’s degree or PhD is preferred
Minimum of one (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is required
Minimum of five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations
Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
Proficiency in data manipulation, data visualization, and SQL for data extraction and analysis
Proficient with MS office (Excel, PowerPoint, Word, Access)
Ability to perform advanced statistical analysis and modeling such as liner and non-liner regression, sampling, and Markov chains
Extensive knowledge of predictive modeling, machine learning algorithms such as clustering, decision trees, dimensionality reduction and NLP
Expertise in NLP techniques and tools such as natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification
Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
Experience with healthcare data sets, including claims data, electronic health records (EHR), and population health data
Knowledge of healthcare operations, payer and provider models, and industry trends
Proficient in feature engineering techniques and exploratory data analysis
Working knowledge of optimization techniques and artificial intelligence methods
Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
Leadership qualities, including the ability to mentor and develop a team, foster collaboration, and drive results

Benefits

substantial and comprehensive total rewards package
bonuses tied to company and individual performance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

predictive analyticsdata sciencestatistical modelingmachine learningPythonRSQLNatural Language ProcessingOptical Character Recognitionfeature engineering

Soft Skills

analytical skillsproblem-solvingcritical-thinkingproject managementcommunication skillspresentation skillsleadershipmentoringcollaborationinnovation