Senior Data Scientist

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Lead and engage in the creation, validation, and delivery of sophisticated analytics, statistical models, machine learning solutions, and reporting tools.

• Design and deploy data-driven solutions utilizing data science, predictive modeling, natural language processing, and visualization technologies.

• Address intricate business challenges and enhance patient care outcomes.

• Streamline healthcare operations and facilitate evidence-based decision-making.

• Collaborate with business leaders, clinicians, IT teams, and other key stakeholders.

• Convert data into actionable insights and propel strategic initiatives.

⛳️ Requirements

• 5-7 years of pertinent experience in data science, analytics, statistical modeling, or a related discipline.

• Proven experience in designing, developing, and implementing predictive models, machine learning solutions, and analytical frameworks.

• Expertise in data-oriented programming languages and data visualization tools.

• Experience handling large, complex datasets and integrating data from various sources.

• Strong analytical, problem-solving, and decision-making capabilities.

• Ability to convey complex analytical results to both technical and non-technical audiences.

• Experience in developing dashboards, metrics, and performance reporting solutions.

• Excellent collaboration and teamwork abilities across different functional areas.

• Capacity to plan, execute, deliver, and support data-driven initiatives.

• Understanding of data governance principles, data quality standards, and analytical best practices.

• Experience applying advanced analytics and machine learning techniques in healthcare, payer, provider, or clinical settings.

• Familiarity with natural language processing (NLP), data mining, and predictive analytics methodologies.

• Proven track record of enhancing healthcare quality, operational efficiency, or patient outcomes through data science solutions.

• Experience in presenting analytical outcomes and acting as a consultative partner to business and executive stakeholders.

• Knowledge of analytics, visualization, and data engineering tools and technologies.

• Experience mentoring team members and advocating for data science best practices.

• Commitment to continuous learning and keeping abreast of emerging data science technologies and methodologies.

• A Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Healthcare Analytics, Engineering, or a related quantitative field is preferred.

• An equivalent combination of education, specialized training, and relevant professional experience may be considered.

• An advanced degree (Master's or Ph.D.) is preferred but not mandatory.

🏝️ Benefits

• Medical coverage

• Dental coverage

• Vision coverage

• Paid time off

• Retirement savings options

• Wellness programs

• Additional resources supporting physical, emotional, and financial well-being

• CVS Health bonus, commission, or short-term incentive program in addition to base pay