Senior Decision Scientist - Specialty Pharmacy Growth

at  CVS Health

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

• Lead development of advanced analytics to enhance CVS Specialty customer service to providers to drive customer loyalty and business growth
• Ability to translate business problems into analytical solutions, structure data analysis, driving analytics insights and analytical solutions to help data scientists determine the best analytical solutions.
• Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in CVS Specialty pharmacy
• Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms

REQUIRED QUALIFICATIONS

• 3+ years of analytic experience independently driving analysis and initiatives with track record of business impact
• 3+ years of data science experience, preferred in consulting experience
• 3+ years of experience with advanced machine learning techniques, such as generalized linear models, tree-based models, clustering, natural language processing, and deep learning
• Domain knowledge in time series analysis, demand forecasting and supply chain analytics having mastered the techniques across spectrum of complexity – Tree based models, ARIMA, deep learning based time series models
• Prior experience using and managing projects leveraging Cloud technologies (Azure, GCP, AWS, Databricks)
• Expert level programming skills in Python, SQL
• Ability to engage with senior business stakeholders, execute level communication and influencing skills
• Highly motivated individual willing to upskill with an ability to work in an extremely fast paced environment both individually and with a team

PREFERRED QUALIFICATIONS

• Demonstrates strong ability to communicate technical concepts and implications to business partners
• Anticipates and prevents problems and roadblocks before they occur
• Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
• Robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc.
• Highest level of attention to detail when working within legal and complianceregulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data.

EDUCATION

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree or PhD preferred

Please refer the Job description for details