Senior Applied Data Scientist at EnrollHere

, , United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Data Science, Statistics, Quantitative Analytics, Forecasting, Predictive Modeling, Risk Analysis, Model Deployment, Monitoring, Data Pipelines, AI Agents, LLM-based Systems, Communication, Collaboration, Innovation, Model Reliability, Business Impact

Industry

Software Development

Description

EnrollHere is on a mission to make healthcare enrollment simple, transparent, and accessible for everyone. We partner with organizations nationwide to deliver streamlined technology and exceptional customer experiences, ensuring members can access the coverage they need with confidence. Our fully remote team thrives on collaboration, innovation, and a shared commitment to improving the enrollment journey for all. As the platform scales, our ability to make accurate, timely decisions around policy behavior, agency performance, and cash flow becomes increasingly critical. This role is responsible for building and owning predictive, forecasting, and risk models that directly inform those decisions. Just as important, you will operationalize these models end- to-end—ensuring they run reliably in production, adapt as the business evolves, and are trusted by the teams that use them. You’ll also help design and manage AI-powered agents that support analytical and forecasting workflows, with a strong emphasis on control, evaluation, and real operational value. This is a hands-on, senior role with clear ownership and accountability. Responsibilities Build predictive, forecasting, and risk models to support policy decisions, agency strategy, and cash-flow planning. Own the full production lifecycle of models, including deployment, monitoring, drift detection, and retraining. Translate model outputs into decision-ready insights for policy, finance, and operations teams. Partner closely with data engineering and product to ensure models are supported by scalable, reliable data pipelines. Design and manage AI/LLM-based agents to automate or augment analytical workflows. Define evaluation metrics, guardrails, and failure modes for agent-driven systems. Improve model reliability, interpretability, and business impact as the platform scales. 5+ years of experience in applied data science, statistics, or quantitative analytics. Strong background in forecasting, predictive modeling, or risk/actuarial-style analysis. Demonstrated experience owning models in production, not just experimentation. Ability to operate in a fast-moving SaaS environment with evolving data and requirements. Practical experience with or strong interest in AI agents and LLM-based systems, beyond simple prompting. Clear communicator who can work across technical and business teams. Nice to Have Experience in insurance, financial services, or regulated industries. Exposure to model monitoring, governance, or MLOps patterns. Familiarity with modern cloud data platforms and Databricks. We believe in taking care of our team, which is why we offer a comprehensive benefits package that supports your health, wellness, and future: Medical: 4 United Healthcare medical plans (including an HSA option) Dental: 3 dental plans (Aetna and MetLife) Vision: 2 Aetna vision plans Wellness & Mental Health: 5 additional Medical Plus benefits, including telehealth support and an annual Talkspace subscription Ancillary Coverage: 4 ancillary plans and supplemental life insurance Retirement: 401(k) with a 4% match (after a 90-day exclusionary period) PTO & Flexibility: Generous PTO and remote work support Growth: Learning stipends and opportunities for professional development

Responsibilities

The role involves building and owning predictive, forecasting, and risk models to inform policy decisions and agency strategy. Additionally, the candidate will operationalize these models and design AI-powered agents to support analytical workflows.