Manager, IT Data Products The Manager, IT Data Products role is responsible for providing leadership, organization, and direction to achieve corporate and department strategy through the execution of projects and initiatives within the Data Platforms and Products team. In
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves
Strategic Pricing Professional This role is based in San Jose with a hybrid work model. Remote candidates are also encouraged to apply and will be considered. Meet the Team Join Ciscos Pricing Strategy and Monetization teaman
Internship Opportunity Since our founding in 1924, weve cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome todays biggest health challenges and accelerate this progress, we need passionate
Global Trials Optimization Specialist / Project Manager I (Sponsor Dedicated/Remote - US only) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across
Senior Manager, It Solutions - Safety & Asset Protection The Senior Manager, IT Solutions - Safety & Asset Protection serves as the strategic technology partner for the Safety and Asset Protection organizations. This role is responsible for leading
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using cutting-edge machine
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,