Job Description
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.
Job Tags
Contract work, Work at office