
Senior Data Scientist
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in New Jersey.
• Create AI-driven tools and analytics tailored for Call Centers.
• Employ data-centric programming languages and visualization software to assess extensive data sets and address intricate business challenges.
• Assist in the rollout of data science projects utilizing data mining, data modeling, natural language processing, and machine learning techniques.
• Retrieve data from various sources and provide predictive modeling solutions.
• Develop sophisticated data solutions that align with client specifications and meet organizational quality benchmarks.
• Leverage data science and machine learning to enhance patient care, streamline healthcare operations, and bolster evidence-based decision-making.
• Establish analytical frameworks, key performance indicators, and dashboards focused on healthcare quality, efficiency, and outcomes.
• Engage with executives, clinicians, IT experts, business analysts, and other relevant stakeholders.
• Organize presentations and consultative services to elucidate analytics findings and solutions.
• Keep abreast of the latest data analysis methodologies, visualization tools, software, and object-oriented programming languages.
• Mentor team members on data science best practices and promote compliance with data governance policies.
• 3–5 years of relevant professional experience.
• Solid understanding of problem-solving and decision-making abilities.
• Proficient in data mining and data modeling techniques.
• Familiarity with natural language processing and machine learning concepts.
• Expertise in data-oriented and object-oriented programming languages.
• Experience utilizing data visualization tools and software.
• Capacity to create predictive models, analytical frameworks, metrics, and dashboards.
• Bachelor’s degree preferred, along with specialized training or pertinent professional credentials.
• CVS Health bonus, commission, or short-term incentive program.
• Medical coverage.
• Dental coverage.
• Vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs.
• Additional resources to support physical, emotional, and financial well-being, subject to eligibility.
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