Data Scientist III

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 programming 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

Pay

$94,100.00 - $164,800.00