Data Scientist

🕒 August 13

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $160k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 17%

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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Evio

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Evio is a healthcare solutions company that focuses on reducing high-cost medication spend and improving patient outcomes through the use of real-world evidence, innovative contracting models, and a data-driven approach. Owned by five independent health plans, Evio serves over 20 million members by providing analytics, value-based contracting, and insights for both health plans and pharmaceutical manufacturers. Their solutions aim to increase transparency in healthcare costs, improve medication therapy, and optimize patient care. Evio is committed to a values-driven culture and leverages its expertise in health economics, outcomes research, and data science to support its mission.

📋 Description

• Lead development and execution of research, analytics, and reporting for Evio Insights, a real-world evidence product • Translate ambiguous health plan problems into research questions and select appropriate study or modeling approaches • Own the analytic lifecycle from problem definition through analysis and actionable recommendation • Develop reusable analytical frameworks, study templates, and automated workflows • Explore data for signals, trends, utilization patterns, and anomalies • Apply machine learning and advanced analytics, including predictive modeling, natural language processing, graph neural networks, and unsupervised clustering • Evaluate new data sources, analytical methods, forecasting, and patient segmentation approaches • Design and execute real-world evidence projects, observational studies, comparative effectiveness studies, and predictive models of cost and clinical outcomes • Collaborate with pharmacists, RWE/HEOR researchers, data scientists, analysts, engineers, product managers, and client-facing teams • Develop analytical plans, outcome definitions, and validation approaches • Translate findings into presentations, slide decks, manuscripts, and client-facing communications • Conduct feasibility assessments and exploratory analyses • Develop reporting and visualizations on recommendation impact and cost-savings potential • Apply program-evaluation methods such as matched comparisons, difference-in-differences, interrupted time-series analyses, and other quasi-experimental approaches • Identify emerging medication utilization and cost trends and support study ideation, prioritization, and strategic decision-making

🎯 Requirements

• 5+ years of experience in healthcare analytics, real-world evidence, health economics and outcomes research, data science, or a related field • 5+ years of experience with machine learning and advanced analytical methods, such as predictive modeling, forecasting, and unsupervised learning/segmentation • Experience working with administrative claims data • Strong proficiency in SQL and experience with at least one analytical programming language, such as Python or R • Experience designing statistical comparisons, analytical plans, and decision-grade analyses for a variety of use cases • Skills to design and execute descriptive analytics, outcomes-based analytics, and predictive analytics • Experience developing automated, reusable, or production-ready analytical workflows and reporting solutions • Ability to communicate technical information to executives, analysts, actuaries, and clinicians via written and verbal communication • Strong problem-solving skills with the ability to independently explore data, identify insights, and recommend actionable solutions • Preferred: experience with healthcare data beyond administrative claims, commercially available real-world data analytics platforms, AI for real-world data analysis/workflow automation/quality assurance, and high-cost and specialty medications managed by health plans

🏖️ Benefits

• Additional variable compensation opportunities • 100% company-paid medical, dental, and vision premiums for teammates • 50% company-paid medical, dental, and vision premiums for dependents • 401(k) match: 100% of teammate contribution up to 5% of salary, subject to IRS limits • Flexible vacation policy with no minimum or maximum amount of vacation • Generous paid parental leave for birth and non-birth parents • Paid and unpaid time off • Life and disability insurance