Senior Data Scientist, Contractor

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

📋 Description

• Take ownership of analytical strategies by independently defining approaches, designing research methodologies, and offering strategic advice to stakeholders.

• Create, validate, and implement machine learning models utilizing predictive modeling, Random Forest techniques, Bayesian hierarchical modeling, and geospatial analysis.

• Collaborate directly with external clients and government representatives to comprehend project requirements, manage expectations, and deliver effective data science solutions.

• Communicate intricate technical findings, methodologies, and actionable insights to stakeholders and decision-makers who may not have a technical background.

• Supervise the development of ETL/ELT pipelines, ensuring data governance, access controls, and the secure management of sensitive health and regulated datasets.

• Leverage Azure Databricks, R, and SQL to design and implement scalable data science solutions.

⛳️ Requirements

• Senior-level Data Scientist with the ability to work autonomously.

• Intermediate to advanced proficiency in Microsoft Azure, particularly Azure Databricks.

• Advanced skills in R programming.

• Strong experience with SQL and database management.

• Demonstrated experience with machine learning methodologies, including predictive modeling and Random Forest techniques.

• Experience in handling sensitive health, research, or highly regulated datasets.

• Must possess a current CITI Certification or be able to acquire one promptly.

• Advanced experience with R Shiny applications.

• Familiarity with GitHub and CI/CD pipeline practices.

• PhD or substantial practical experience in Data Science within a related discipline.

• In-depth knowledge of Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis techniques.

• Previous consulting experience with external clients, especially within government or public sector environments.

• Experience with Azure Databricks, Snowflake, PostgreSQL, or comparable data warehouse settings, including ETL/ELT pipeline development, relational and NoSQL databases, data governance, strict access controls, and MLOps practices.

🏝️ Benefits

• Comprehensive health insurance options.

• Competitive salary with performance-based bonuses.

• Opportunities for professional development and continuing education.

• Flexible work arrangements and remote work options.

• Supportive and collaborative work environment.