Data Scientist | Machine Learning Engineer

OLE OVERVIEW

CCS Medical is building out a centralized Data & Analytics Center of Excellence (CoE) and needs a Machine Learning Data Scientist to design and deliver scalable ML solutions across Analytics, Operations, Marketing, and IT.

The ideal candidate blends strong statistical/mathematical expertise with the ability to translate complex data into clear, actionable insight for both technical and non-technical stakeholders, within a regulated healthcare environment (HIPAA, Medicare/Medicaid).

KEY RESPONSIBILITIES

• Extract, clean, and analyze large structured and unstructured datasets
• Design, build, and optimize machine learning models and predictive systems
• Perform feature engineering, data preprocessing, and model evaluation
• Identify patterns, trends, and opportunities within data to drive business decisions
• Develop data stories and present insights to technical and non-technical stakeholders
• Build dashboards and visualizations (Power BI, Tableau, etc.)
• Collaborate cross-functionally with Analytics, Operations, Marketing, and IT
• Enhance data collection processes to improve data quality and usability
• Ensure data integrity, compliance, and confidentiality (HIPAA, Medicare/Medicaid, etc.)

REQUIREMENTS / MUST-HAVES

• Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 5+ years of experience in data science, analytics, or machine learning
• Strong proficiency in Python or R, and SQL
• Experience building ML models (classification, regression, clustering)
• Strong foundation in statistics and mathematics (regression, probability, linear algebra)
• Hands-on experience with data visualization tools (Power BI, Tableau, matplotlib, etc.)
• Strong communication skills and proven ability to solve business problems with data
• Preferred: big data tools (Hive, Pig, Spark); Scala, Java, or C++; experience in regulated industries (healthcare, insurance)