Data Scientist - Customer & Marketing Analytics

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

CVS is a Fortune 6 company aiming to inspire customers to consistently choose us as their health and wellness go-to retailer by delivering the most relevant and rewarding personalized experiences through a world-class personalization and loyalty program. This is a top initiative within the company, and we have a team dedicated to recruiting the best talent in the world to help propel us to this goal. The company has invested in state-of-the-art technology, scaling of our loyalty program, and deep expertise in analytics and data science to continuously strive for excellence and innovation in this space.

As part of the Analytics & Behavior Change function, the Consumer Engagement Analytics team helps lead our mission to be a customer-centric, data-driven organization. This team aggressively tracks and helps grow CVS’ customer journeys through franchise by identifying opportunities and optimizing customer strategies derived by analyzing trends in customer shopping behavior, needs, intents, and responses. The team leverages advanced analytics, machine learning, and a hypothesis-driven approach to quickly transform data into actionable, customer-centric insights in fast-moving and energizing environment. We are looking for the best, the brightest and the most passionate analytics visionaries to join our team and help us deliver on this initiative.

The ideal candidate should be detailed oriented with the ability to quickly understand complex situations, manage multiple urgent tasks at the same time and have a proven track record of communicating in an open and honest way that quickly builds trust and respect. This position will be based in one of our Analytics Hubs (Wellesley, RI or NY) and will report to the Sr. Manager with consistent exposure to senior leadership.

As Data Scientist, you will:

• Develop analytical insights, create and implement experimentation plans to optimize customer journey - this includes audience selection, activation recommendation, multi-channel contact cadence, performance insights, experimentation design, execution and delivery etc.
• Lead strategic customer analytics and insights projects, including business problem solving, guidance on methodologies, innovation and quality controls throughout projects
• Contribute to projects that have advanced technical resources (engineers, application devs, data scientists) and business SMEs
• Communicate technical information (statistical methods, mathematical problems, databases) to business partners who do not have a technical background and help them to make data/fact-based business decisions
• Support the development and scaling of highly personalized, customer-focused strategies that will be leveraged across multiple channels to optimize targeted communications.
• Work closely with the business team to understand business needs, develop requirements, and implement data strategy solutions
• Conduct hands-on analysis on customer and campaign data using analytical/statistical/cloud tools such as SQL/Python

Required Qualifications

• 1+ years of business experience leading the development of analytic solutions and initiatives with track record of business impact
• 1+ years of problem structuring and solving environment – including data structuring, quantitative reasoning, and mathematical analysis to examine and interpret data
• 3+ years' experience in at least one programming language (SQL, SAS, R, Python, etc.)
• 1+ years' experience strategy consulting or on strategy teams in large companies
• Minimum 3 years total business experience

Preferred Qualifications

• Deep understanding of Retail, and/or data driven marketing, campaign analysis, customer analytics (loyalty, reactivation, retention), CRM or database marketing, and Machine Learning and optimization
• Excellent communication skills to communicate technical information and complicated mathematical problems to business partners
• Retail experience or analytics consulting experience is a plus 
• Modeling experience is a sig