Job Description

Job Description
Responsible for developing data driven business solutions using advanced analytical tools and techniques for enhancing customer loyalty and growth. As a member of Data Science and Innovation team, this individual will create analytical engines to drive customer growth through targeting, segmentation, offer optimization, customer profitability (LTV) and multi-channel campaign lever optimization (e.g., propensity modeling) and continuously enhancing analytical tools and processes. This person will play an integral role on a team reshaping customer centric thinking across the enterprise. Identify and develop innovative solutions leveraging advanced analytics to support personalization
programs and customer strategies, this may include targeting, retention, segmentation, offer optimization, multi-channel contact cadence, CRM decision engine, and messaging, etc.
Develop and manage portfolio of advanced analytics assets (attributes, models & solutions), support
business use cases to ensure most effective use of these assets.
Utilize modeling software, data management and system requirements, scoring process, and predictive model output integration into business systems.
Evaluate/develop tools, methodologies or infrastructure building capability and fostering innovation. Assess new data sources (internal and external) and new metric development to foster data innovation.
Own execution and delivery of analytical projects and insights to internal business partners and presenting to the leadership.
Partner with cross functional leads on customer growth and execution teams to launch these strategies and close loop performance management.
Helps and directs others on projects, including project management, business problem solving, guidance on methodologies and quality assurance of results.
Managing across multiple projects to ensure successful delivery in a fast-paced environment.
Ensuring effective stakeholder relationships.

Required Qualifications
5 years of experience in solving complex business problems and delivering data science/machine learning/artificial intelligence solutions. Must also have 5 years of experience in Machine Learning; Python, R or Spark; Statistical Techniques; Decision Trees and Clustering.

Preferred Qualifications
Strong teamwork, solid communication skills. Ability to self-learn. Enthusiasm for new project opportunities.

Education
Bachelor's degree or foreign equivalent in Statistics, Econometrics, Machine Learning, Operations Research, Data Science, Applied Mathematics, or related field

Business Overview
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.