Senior Data Scientist

🔥 2 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $160k - $175k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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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Allied Benefit Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Allied Benefit Systems is a national healthcare solutions company that provides health plan administration, care and cost management, provider network services, and data analytics to employers, members, and benefits consultants. The company focuses on reducing healthcare costs, optimizing plan performance, and improving member experience through administrative services, analytics & insights, and customizable provider networks.

📋 Description

• Design, develop, and evaluate production-grade statistical and machine learning models • Develop predictive solutions supporting healthcare operations, member experience, provider engagement, and business performance • Perform feature engineering and model validation • Establish best practices for experimentation and model evaluation • Employ and evangelize advanced statistical techniques • Analyze large and complex datasets to identify trends, opportunities, and operational insights • Translate business questions into analytical approaches and measurable outcomes • Present findings and recommendations to technical and non-technical audiences • Help business stakeholders make data-driven decisions • Design and analyze experiments evaluating process improvements, AI systems, and business interventions • Define success metrics and measurement strategies for AI and analytics initiatives • Assess model performance and business impact over time • Partner with stakeholders to define KPIs • Design executive and business-facing dashboards • Drive metric standardization and reporting consistency • Interpret trends and provide insight into changes in business performance • Identify opportunities where analytics, machine learning, or AI can improve operational outcomes • Support evaluation of emerging AI capabilities and business use cases • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent combination of education and work experience required • 5+ years of experience in data science, analytics, machine learning, AI, or applied statistics • Expert knowledge of statistics • Strong Python skills • Advanced SQL knowledge • Experience developing predictive models and analytical solutions • Experience communicating insights to business stakeholders and executives • Strong understanding of experimentation, model evaluation, and statistical analysis • Experience working in healthcare, insurance, claims, or related regulated industries • Experience with Power BI or similar BI platforms • Experience with cloud-based analytics environments • Familiarity with machine learning deployment workflows • Familiarity with generative AI evaluation methodologies and LLM-based systems • Experience with coding assistants, e.g., Claude Code, for feature-oriented development • Internet connection through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Generous paid time off • Tuition reimbursement • Employee Assistance Program (EAP) • Technology stipend • Flexible work-from-home arrangement • Cable broadband or fiber optic internet service with minimum speeds of 100Mbps download/25Mbps upload required for remote work