Sr Data Scientist

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

This is a unique opportunity for someone passionate about innovation in data science, machine learning, and predictive modeling techniques. The team currently uses an industry-leading scalable data platform and techniques in creating solutions to challenging business problems. This role will require frequent interaction with project stakeholders and business partners at all levels of the organization. This is a fast-paced, collaborative, and iterative environment requiring quick learning, agility, and flexibility.

Responsibilities
Designs systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems.
Defines data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions.
Designs and develops data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data.
Applies data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making.
Develops and implements analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance. 
Collaborates with stakeholders across the organization, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions.
Delivers presentations and consultative services to existing and prospective constituents on data analytics results and solutions.
Improves professional data science knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages.
Helps establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices.

Required Qualifications

• 5+ years of experience with data analytics or a combination of education and experience

• 5+ years of experience with statistical analysis, predictive modeling, machine learning techniques, Python, Spark, and visualization tools

Preferred Qualifications

• 3+ years of experience in information security, proven experience designing data science workflow solutions for production environments, working knowledge of statistical methods for analyzing data (central tendency, error analysis, analysis of outliers), deep knowledge and experience in machine learning, security, and network data to model risk-driven models of consumer and workforce behavior and provide context to security analysts to drive business decisions

• 3+ years of experience discussing business problems and requirements with customers and designing solutions

• 3+ years of experience being responsible for the end-to-end creation and deployment of new analytic offerings to support our internal and external clients.

• 3+ years of experience being involved in all aspects of the project lifecycle from requirements gathering, hypothesis generation, ideation, programming, testing, and implementation of new processes and tools.

• 3+ years Analyzing log, security, and cybersecurity intelligence data and using quantitative methods to create actionable and timely data products.

• 3+ years of client interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form, and reliable executive presence.

• 3+ years of extensive experience in big data, analytics, programming, statistics, and cybersecurity. Experience with healthcare cybersecurity is strongly preferred.<