Avēsis
Healthcare Insurance • Wellness
Avēsis is a company dedicated to providing comprehensive specialty benefits focused on improving access, equity, and health outcomes. Specializing in dental and vision plans, Avēsis offers flexible, affordable, and outcome-focused oral health benefits as well as vision plans that connect eye health to overall well-being. With over 40 years of experience, Avēsis is committed to personalized care and building community health networks to service government partners, commercial providers, employers, and brokers. Avēsis operates as a wholly owned subsidiary of Guardian, and leverages tailored network and product solutions to deliver accessible quality care to members, while also administering Medicaid, Medicare, and other essential benefits programs.
Data Scientist
Job not on LinkedIn
September 21
Avēsis
Healthcare Insurance • Wellness
Avēsis is a company dedicated to providing comprehensive specialty benefits focused on improving access, equity, and health outcomes. Specializing in dental and vision plans, Avēsis offers flexible, affordable, and outcome-focused oral health benefits as well as vision plans that connect eye health to overall well-being. With over 40 years of experience, Avēsis is committed to personalized care and building community health networks to service government partners, commercial providers, employers, and brokers. Avēsis operates as a wholly owned subsidiary of Guardian, and leverages tailored network and product solutions to deliver accessible quality care to members, while also administering Medicaid, Medicare, and other essential benefits programs.
📋 Description
• Collect, analyze, and interpret large datasets to help organizations make data-driven decisions • Leverage expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets • Solve challenging problems and drive data innovation • Collaborate with colleagues in other departments to improve business outcomes • Identify and mine reliable internal and external data sources • Design custom tools to optimize data mining, cleaning, validation and analysis tasks • Develop and apply custom data models and algorithms to data sets • Develop tools and testing models to ensure data accuracy • Create and present reports that detail findings, recommendations and solutions • Conduct exploratory data analysis, statistical analysis, and predictive modeling • Design, train, and deploy machine learning algorithms and predictive models • Perform data mining and pattern recognition for tasks like fraud detection or customer behavior prediction • Design and conduct experiments and hypothesis testing (e.g., A/B testing) • Present complex findings to technical and non-technical stakeholders using visualizations and reports
🎯 Requirements
• Bachelor’s degree in computer science, Data Science, Math or related field • 5+ years’ experience working in healthcare • Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets • Expertise in designing multi-cloud or hybrid data ecosystems • 5+ years’ experience using Java, JavaScript, Python, R or SQL • Experience with business intelligence and data analytics tools such as PowerBI • Familiarity with machine learning techniques and when they should be used • Familiarity with statistical and data mining techniques and when it is appropriate to use them • Strong problem-solving skills • Preferred: Master’s degree in data science, Computer Science, or related field • Preferred: Experience with AI-driven data architecture and advanced analytics solutions • Preferred: Proficiency in cloud-native database management and DevOps practices
🏖️ Benefits
• Competitive compensation package • Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period • Life and disability insurance • A great 401(k) with company match • Tuition assistance • Paid parental leave • Backup family care • Flexible time off, dress code, and work location policies • Employee Resource Groups • Volunteer and community engagement opportunities • Role may be eligible for benefits, bonuses, and commission
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