Data Scientist I

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Execute advanced and predictive data analytics utilizing big data and data science technologies to drive healthcare innovation.

• Analyze both structured and unstructured data sets.

• Create algorithms tailored to specific business requirements.

• Design and develop data models aimed at predicting member outcomes or assessing the future impact of significant member decisions.

• Construct analytical tools to extract, analyze data, and appropriately store analytical results.

• Conduct exploratory data analysis from intricate data sources and build essential data sets for operational evaluation.

• Assess and design experiments to track key metrics and identify areas for improvement.

• Develop mathematical and statistical models to identify relevant content or events and detect patterns.

• Engage in presentations and communicate research analysis and findings effectively.

• Contribute to the design of automated operational analytics processes to achieve scalability and sustainability.

⛳️ Requirements

• Must possess authorization to work in the U.S. without requiring employment-based visa sponsorship, now or in the future.

• Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science, accompanied by 1+ years of experience.

• Bachelor’s degree with a minimum of 3 years of experience in quantitative analysis.

• Proficiency in data science capabilities, including data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition, transformation, and analysis of both structured and unstructured data.

• Experience with database technologies.

• Proficient in programming with R, Python, and SQL.

• Familiarity with R Studio.

• Knowledge and ability to utilize Databricks volumes/delta tables and notebooks.

• Familiarity with and ability to utilize Snowflake.

• Experience in predictive modeling, exploratory data analysis, and data visualization.

🏝️ Benefits

• Competitive salary.

• Health insurance coverage.

• 401K retirement plan.

• Stock purchase options.

• Tuition reimbursement program.

• Paid time off in addition to holidays.

• Flexible work arrangements, including remote, hybrid, field, or office schedules.

• Additional forms of incentives may be included in the total compensation package.