Manager, Predictive Analytics and Data Science

Job Summary:

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.

Essential Functions:

• 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

Education and Experience:

• Bachelor’s Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required
• 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

Competencies, Knowledge and Skills:

• 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
• Comfortable reading academic research papers and applying them in the models

Licensure and Certification:

• None

Working Conditions:

• General office environment; may be required to sit or stand for extended periods of time

Compensation Range:

CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):

Organization Level Competencies

• Fostering a Collaborative Workplace Culture

• Cultivate Partnerships

• Develop Self and Others

• Drive Execution

• Influence Others

• Pursue Personal Excellence

• Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.