Data Scientist III

Job Summary:

The Data Scientist III is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the organization (operational, clinical, financial, marketing, etc.).

Essential Functions:

• Create, maintain, and communicate analytical plan for each project
• Balance progress in multiple concurrent projects
• Present models and analyses to management
• Mentor new and developing junior Data Scientists
• Mine and analyze large structured and unstructured datasets
• Employ wide range of data sources to develop algorithms for predicting risk, understanding drivers of risk, detecting outliers, etc.
• Develop visualizations that demonstrate the efficacy of developed algorithms
• Provide statistical validation and analysis of outcomes associated with clinical programs and interventions
• Develop innovation models to differentiate CareSource as a leader in advanced healthcare analytics
• Evaluate new software and other tools to advance data science capabilities
• Lead collaboration with other teams to integrate with existing solutions
• Communicate results and ideas to key stakeholders
• Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption
• Perform any other job duties as requested

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 five (5) years of experience in data analysis and/or analytic programming required
• Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is required
• Two (2) years healthcare experience is preferred

Competencies, Knowledge, and Skills:

• Expert knowledge of a scientific programing language (such as Python or R) and SQL
• Knowledge of developing reports or dashboards in Power BI or other business intelligence applications
• Ability to perform basic statistical analyses and techniques including A/B testing, general significance testing, and sampling methodologies
• Extensive knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction and natural language processing
• Proficient in feature engineering techniques and exploratory data analysis
• Working knowledge of optimization techniques and artificial intelligence methods
• Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
• Proven analytic skills in solving multi-dimensional problems and experience in creating reports, projections, models, and presenting to business stakeholders
• Comfortable reading academic research papers and applying them in the models
• Proficient with MS office (Excel, PowerPoint, Word, Access)
• Demonstrated critical thinking, verbal communication, presentation, and written communication skills
• Ability to work independently and within a cross-functional team environment

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