At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Join us for an exciting opportunity with a leading retail organization with a wide range of customer interactions and analytics. Role will be responsible for large scale data science model creation with additional support from data engineering and ML ops. Interaction with stakeholders and communication of complex concepts to prioritize and plan development. Continuous learning and improvement for both the business subject matter expertise and emerging algorithms and techniques will be a constant development going forward.
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Position Summary :Description/Fundamental Components
Builds and facilitates machine learning across large scale systems and campaigns and ensures deployment and updates in partnership with data engineering.
Facilitates analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
Develops and participates in presentations and consultations to existing and prospective constituents on 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 optimize and scale solutions
Use strong programming skills to explore, examine and interpret large volumes of data in various forms
Required Qualifications :7+ or more years of progressively complex related experiencePreferred 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 data structures and ML and BI tools to analyze large data sets from multiple data sources for both machine learning and exploratory analysis and ad-hoc request
Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areasEducation :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 preferredPay Range
The typical pay range for this role is:$118,450.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.