Remote Data Scientist | Pay (Remote - California)

Description:

• This position is for a Data Scientist focused on claims payment processes in the healthcare industry, based in California and offered remotely.
• The role involves leveraging machine learning and data science to transform claims payment processes, aiming to detect errors, inefficiencies, and potential fraud.
• The Data Scientist will develop advanced models that drive measurable savings for healthcare payers.
• Responsibilities include working with large-scale, complex datasets to design features, optimize model performance, and implement production-ready pipelines.
• The position requires collaboration with cross-functional teams to create scalable solutions that improve business outcomes.
• The work environment is described as fast-paced, innovative, and mission-driven, focusing on solving real-world problems at scale.

Requirements:

• Candidates must have several years of hands-on experience solving real-world business problems using data and machine learning.
• A proven ability to contribute at the team level by developing frameworks and tools that improve workflow efficiency is required.
• Experience in handling large, complex, and potentially unclean datasets is necessary.
• Applicants should have the ability to measure and optimize the business impact of data science initiatives.
• Experience in building production-quality code, deploying models, and developing robust data pipelines is essential.
• A strong curiosity about healthcare operations, claims, and payments is important.
• Strong analytical skills, attention to detail, and strategic thinking in complex problem-solving are required.

Benefits:

• The position offers a competitive salary and growth potential.
• Comprehensive health, dental, and vision insurance is provided.
• Flexible paid time off and remote work options are available.
• Employees will have opportunities to work on mission-driven, high-impact projects.
• There is exposure to cutting-edge AI and machine learning technologies in healthcare.
• The work environment is collaborative and innovative, supporting professional growth.