Cloud Data Engineer (Machine Learning) - CVS Health
Job Type: Engineering
IQ Workforce is a leading recruiting firm for the global engineering, analytics & data science communities.
Our client partner, CVS Health, is hiring Cloud Engineers in their Enterprise Analytics organization. As CVS Health now makes up a PBM (Caremark) and one of the nation’s largest health insurers (Aetna), you will have the opportunity to create programs that use an unprecedented level of health data to improve health outcomes. If you are passionate about making a difference in the work you do, being recognized for your talent and expertise in solving complex and challenging analytical/data problems while contributing to the success of key strategic initiatives, consider growing your career with a Fortune 10 healthcare leader!
You will collaborate with business partners to identity opportunities to leverage big data technologies with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will build and architect next-generation Big Data machine learning framework developed on a group of core Big Data technologies. You will design highly scalable and extensible Big Data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will define and maintain data architecture, focusing on applying technology to enable business solutions. You will assess and provide recommendations on business relevance, with appropriate timing and deployment. You will perform architecture design, data modeling, and implement CVS Big Data platforms and analytic applications. You will bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies. You will develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects. You will apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation
BA degree required with 2-5+ years of relevant experience; or a Master’s degree or equivalent in an analytic discipline and 1+ years of relevant experience
3+ years of experience with SQL
3+ years of experience working in with retail loyalty solutions – specially email, direct mail, and OAR channels
3+ years of Customer/Campaign analysis experience
Experience working in small teams in high pressure
Experience developing hypothesis-based solutions and
Experience presenting analytical findings to audiences at
Ability to concisely explain complex analytical finding to
non-analytic peers and internal customers
Experience measuring the impact of store policy changes
Exposure to Healthcare Domain knowledge.
Masters in Data Science or Business Analytics experience.
Experience with cloud computing environment (ideally