Staff Data Scientist

🔥 12 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Vi is a company that leverages artificial intelligence to help health organizations improve member health outcomes and financial returns. The company provides an AI SaaS platform that offers solutions for efficient acquisition, personalized engagement, and predictive retention throughout the member lifecycle. Vi focuses on maximizing acquisition, enrollment, engagement, retention, upsells, and health outcomes with superior ROI. Their platform is designed to lower the cost per acquisition, enhance member engagement and retention, and transform operations with their generative AI technology. Vi works with leading global health enterprises to drive results at scale while ensuring privacy and data security standards are met.

📋 Description

• Build config-driven machine-learning pipelines that train, select, score, and deliver predictions from large longitudinal datasets • Convert claims, EHR, lab, and online behavioral-intent data into predictions about healthcare utilization and preventative-care enrollment propensity • Develop automatic feature engineering and model selection for customer-specific models without customer-specific engineering • Find modeling improvements that generalize across customer deployments • Implement and maintain data-science components used by Forward Deployed Data Scientists in customer deployments • Productize pilots and one-off proofs so capabilities remain effective across multiple customers • Set the modeling standard for customer deployments and own improvements that generalize across deployments • Interface occasionally with design-partner clients while primarily working in an applied, in-production, non-customer-facing role • Hands-on architect and builder; not a research or management position

🎯 Requirements

• Personally shipped uplift, survival, or propensity models whose output changed organizational spending or outreach • Experience taking pilots or proofs of concept into repeatable products that survived multiple customers • Real data science depth in segmentation, campaign optimization, and identification strategy for uplift estimates • Ability to defend modeling choices, evaluate models honestly, and select simpler approaches when appropriate • Fluent in Python, pandas, scikit-learn, PySpark, and Airflow • Experience with model tracking and deployment tooling such as MLflow or SageMaker • Ability to run models at scale in AWS using S3, Glue, EMR, MWAA, and SageMaker • Healthcare or life sciences domain knowledge is nice to have • Familiarity with HIPAA, healthcare compliance, and data governance frameworks is nice to have • Experience designing pilots and efficacy studies tied to business outcomes is nice to have • Experience building internal platforms or frameworks is nice to have

🏖️ Benefits

• No explicit benefits, perks, or compensation extras stated