Machine Learning Data Scientist

Role: Machine Learning Data Scientist, * 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 clear, compelling data stories and present insights to technical and non-technical stakeholders
• Build dashboards and visualizations (Power BI, Tableau, etc.) to highlight key insights
• Collaborate with cross-functional teams (Analytics, Operations, Marketing, IT)
• Enhance data collection processes to improve data quality and usability
• Facilitate discussions with stakeholders to define problems and iterate on solutions
• Ensure data integrity, compliance, and confidentiality (HIPAA, Medicare/Medicaid, etc.)
• Support a culture of data-driven decision-making and continuous improvement

Machine Learning, Data Science, Consulting, Marketing, Cross-Functional, Machine Learning, Data Science, Process Improvement, Data Analysis, Operational Audit, The ideal candidate blends strong statistical and mathematical expertise with curiosity, creativity, and the ability to translate complex data into actionable insights., * 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 machine learning models (e.g., classification, regression, clustering)
• Strong foundation in statistics and mathematics (regression, probability, linear algebra)
• Experience with data wrangling, preprocessing, and large dataset analysis
• Hands-on experience with data visualization tools (Power BI, Tableau, matplotlib, etc.)
• Strong communication skills with ability to present insights clearly
• Proven ability to solve complex business problems with data

Preferred Qualifications

• Experience with big data tools (Hive, Pig, Spark)
• Familiarity with Scala, Java, or C++
• Strong software engineering fundamentals
• Experience working in regulated environments (healthcare, insurance, etc.)