Data Scientist II

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $83k - $132.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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CareSource

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 30+ years

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

CareSource is a health services company focused on providing affordable health insurance and healthcare solutions. It offers a wide range of plans including Medicaid, Marketplace, and Medicare Advantage, targeting low-income adults, families, children, pregnant women, elderly adults, and people with disabilities. Additionally, CareSource provides members with resources for COVID-19 support, dental, vision, and hearing benefits, as well as pharmacy services. The company emphasizes easy access to healthcare management through online platforms and a mobile app.

📋 Description

• Design and validate predictive models, machine learning models, and artificial intelligence solutions • Create, maintain, and communicate an analytical plan for each project • Mine and analyze large structured and unstructured datasets • Develop algorithms to predict risk, understand drivers, detect outliers, and support business processes • Develop visualizations demonstrating algorithm efficacy • Provide statistical validation and analysis of outcomes associated with clinical programs and interventions • Collaborate with other teams to integrate solutions with existing systems • Communicate results and ideas to key stakeholders • Prepare code for operationalization of end-to-end model pipelines and business deliverables • Perform other job duties as requested

🎯 Requirements

• Bachelor’s Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field or equivalent years of relevant work experience is required • Minimum of three (3) years of experience in data analysis and/or analytic programming required • Proficient in SQL and at least one of Python or R • Basic statistical analyses and techniques, including A/B testing, general significance testing, and sampling methodologies • Working knowledge of predictive modeling and machine learning algorithms, including generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction, and natural language processing • Proficient in feature engineering techniques and exploratory data analysis • Familiarity with optimization techniques and artificial intelligence methods • Proficient with MS Office (Excel, PowerPoint, Word, Access) • Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies • Demonstrated critical thinking, verbal communication, presentation, and written communication skills • Ability to work independently and within a cross-functional team environment • Experience with cloud services and modern data stack preferred • Healthcare experience preferred • Beginner-level knowledge of developing reports or dashboards in Power BI or other business intelligence applications preferred • No licensure or certification required

🏖️ Benefits

• Bonus tied to company and individual performance may be available • Substantial and comprehensive total rewards package • Employee total well-being support