Data Scientist I

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $72.2k - $115.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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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

• Support the creation, maintenance, and communication of analytical plans for data science projects • Assist in mining and analyzing large structured and unstructured datasets • Develop algorithms for predicting risk, understanding drivers, and detecting outliers • Support development of visualizations demonstrating algorithm efficacy • Contribute to statistical validation and analysis of outcomes associated with clinical programs and interventions under guidance • Collaborate with other teams to integrate with existing solutions • Communicate results and ideas to key stakeholders • Assist in preparing code for operationalization of end-to-end model pipelines and business deliverables • Research and stay up to date on emerging technologies • Perform other related duties as requested

🎯 Requirements

• Bachelor's degree in data science, mathematics, statistics, engineering, computer science, or another related field required • Equivalent years of relevant work experience may be accepted in lieu of required education • Familiarity with SQL and at least one of Python or R • Ability to understand basic statistical analyses and techniques, including A/B testing, significance testing, and sampling methodologies • Working knowledge of predictive modeling and machine learning algorithms • Working knowledge of unsupervised and deep learning methodologies • Working knowledge of natural language processing technologies • Working knowledge of NLP feature extraction techniques, including tokenization, embeddings, and text-based transformations • Familiarity with feature engineering and exploratory data analysis • Familiarity with optimization techniques and artificial intelligence methods • Ability to analyze large quantities of structured and unstructured data • Proficiency with Microsoft Office: Excel, PowerPoint, Word, and Access • Demonstrated critical thinking, verbal communication, presentation, and written communication skills • Ability to work independently and within a cross-functional team environment • No licensure or certification required

🏖️ Benefits

• Bonus tied to company and individual performance • Comprehensive total rewards package • Employee total well-being support