Manager, Predictive Analytics, Data Science

Job Description:

• 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

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