Data Science Director

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

📋 Description

• Lead the formulation, development, enhancement, and support of machine learning models focused on pricing, underwriting, risk assessment, presale, and renewal decision-making.

• Establish and refine practices for model lifecycle management, encompassing development, validation, monitoring, documentation, governance, release management, and model refresh procedures.

• Provide technical guidance across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and analytics that are production-ready.

• Drive the execution of multiple model products by prioritizing tasks, managing delivery timelines, coordinating releases, and ensuring reliable support in production.

• Collaborate with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and governance teams to integrate model outputs into business processes and decision-making frameworks.

• Convert complex analytical concepts into clear business insights related to model performance, limitations, opportunities, and associated risks.

• Ensure adherence to model governance, audit, documentation, and monitoring standards.

• Build and cultivate a high-performing data science organization through mentoring, talent development, collaboration, accountability, and ongoing improvement.

⛳️ Requirements

• Over 10 years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative discipline.

• More than 5 years of experience in leading and developing technical teams responsible for production-grade analytics or machine learning solutions.

• Strong proficiency in machine learning, statistical modeling, model monitoring, validation, and explainability techniques.

• Practical experience with Python, SQL, Git, and contemporary analytics development methodologies.

• Experience overseeing model lifecycle processes, including governance, documentation, monitoring, testing, and production support.

• Proven capability to influence senior business and technical stakeholders and translate complex analytical insights into actionable business strategies.

• Preferred: Familiarity with healthcare payer data, claims analytics, pricing, underwriting, risk adjustment, actuarial analytics, or other risk-centric fields.

• Preferred: Experience with Databricks, Spark, cloud-based analytics platforms, or extensive data environments.

• Preferred: An advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Actuarial Science, or a related quantitative field.

• If working remotely, internet service must be provided through a cable broadband or fiber optic provider with minimum speeds of 10Mbps download and 5Mbps upload.

🏝️ Benefits

• Eligibility for annual bonuses.

• Participation in a long-term incentive plan.

• Medical benefits.

• Vision benefits.

• Dental benefits.

• Well-being and behavioral health programs.

• 401(k) retirement plan.

• Company-sponsored life insurance.

• Tuition reimbursement opportunities.

• A minimum of 18 days of paid time off each year.

• Paid holidays.

• Leaves of absence.