Data Scientist II

CareSource is hiring a Data Scientist II to design, build, and validate predictive models, machine learning models, and artificial intelligence that improve business processes across the organization. This remote role supports work spanning operational, clinical, financial, and marketing use cases, with clear ownership of model planning, execution, and stakeholder communication.

Location: Remote (Remote)
Compensation: $83,000.00 to $132,800.00 per year (Salary)

Responsibilities

• Create, maintain, and communicate an analytical plan for each project
• Mine and analyze large structured and unstructured datasets
• Use a broad range of data sources to develop algorithms for predicting risk and understanding drivers, including outlier detection
• Build visualizations that demonstrate the effectiveness of developed algorithms
• Conduct statistical validation and analysis of outcomes tied to clinical programs and interventions
• Collaborate with other teams to integrate solutions with existing systems
• Communicate results and ideas to key stakeholders
• Prepare code to operationalize an end-to-end model pipeline and deliverables for business consumption
• Perform other job duties as requested

What You’ll Work On

This role focuses on designing and validating predictive modeling and AI approaches that support better decisions across business areas such as operational, clinical, financial, and marketing workflows.

Requirements

• Bachelor’s degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent relevant work experience is required
• Minimum of 3 years of experience in data analysis and/or analytic programming
• Proficiency in SQL and at least one of Python or R
• Ability to perform basic statistical analyses, including A/B testing, general significance testing, and sampling methodologies
• Working knowledge of predictive modeling and machine learning algorithms including generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction, and natural language processing
• Proficient in feature engineering and exploratory data analysis
• Familiarity with optimization techniques and artificial intelligence methods
• Ability to analyze large quantities of information to identify patterns, irregularities, and deficiencies
• Proficiency 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

Preferred

• Experience with cloud services such as Azure, AWS, or GCP and a modern data stack such as Databricks or Snowflakes
• Healthcare experience
• Beginner level knowledge of developing reports or dashboards in Power BI or other business intelligence applications

Technologies

SQL, Python, R, Power BI, Azure, AWS, GCP, Databricks, Snowflakes, A/B testing, MS Office (Excel, PowerPoint, Word, Access)

Working Conditions

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