Data Scientist

Key Responsibilities

• Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
• Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
• Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
• Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
• Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
• Develop dashboards, reports, and data visualizations to communicate analytical findings.
• Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
• Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
• Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
• Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
• Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.

Required Qualifications

• Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
• 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
• Proven experience working with large datasets in enterprise-level environments.
• Strong expertise in statistical modeling and predictive analytics.
• Strong programming experience with Python.
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience developing and deploying Machine Learning models.
• Experience with Power BI for data visualization and reporting.
• Experience working with Snowflake or similar cloud data platforms.
• Strong analytical, problem-solving, and strategic thinking skills.
• Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
• Strong attention to detail with a focus on data quality, accuracy, and reliable results.

Preferred Qualifications

• Experience in the healthcare industry.
• Experience working with healthcare claims data.
• Experience with R and other statistical programming tools.
• Experience with enterprise-scale data platforms and analytics environments.
• Knowledge of emerging AI and advanced machine learning technologies.
• Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.

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