Data Scientist - Round Rock, TX Do you love data and driving innovation? Dell's IT team is seeking a seasoned Data Scientist professional to act as a product expert who would be responsible for the high level usage, design, architecture, and adoption management of multiple Business Intelligence Tools as an Enterprise reporting and analytics platform. This is a highly visible role and provides great exposure throughout the IT organization. Role Responsibilities - Conduct software demonstrations/presentations of the Analytics and Business Intelligence platform that range from standard to custom demonstrations - Performing requirements gathering and analysis in order to understand current state processes to ensure that the context and implications of change are understood by the clients and the project team - Helping to define ROI, success criteria & acceptance criteria for completion of the solution - Evangelize the need and recommend strategies to position advanced analytics in areas such as Predictive/Prescriptive Analytics. Dell's team members are committed to serving our communities, regularly volunteering for over 1,500 non-profit organizations.
DESCRIPTION The Amazon Payments Team manages all Amazon branded payment offerings, globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products. Our payments products (Amazon Co-Branded Credit Cards, Private Labeled Credit Cards, Non-Amazon Branded Credit Cards, Shop with Points and Foreign Exchange) provide the most innovative payment experience on and off Amazon. We manage a financial services ad serving platform (billions of impressions per year) through Amazons purchase path where we offer Amazon branded and non-branded payment products and services. Our team of high caliber software developers, statisticians, analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value.
We are a top 25 employer in the metro area offering a wide array of career opportunities within our organization. We have a leading reputation for patient care, medical education, research, and community service. We value and respect the talented, committed, and diverse people who make up our hospital; they are our most important strength. The hospital offers very competitive wages and an outstanding benefit package. Apply appropriate statistical methods and conduct appropriate statistical analysis for healthcare data.
DESCRIPTION Amazon.com is ranked as one of the most admired companies in the US, #1 most innovative, and # 1 in Customer Service. Amazons technology business has a history and tradition of leading the world in Web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses take their computing infrastructures and applications into the Cloud. Amazon leaders have said publicly that AWS can become as big as our retail business and includes a fast paced release cycle that saw 400 features launched in 2014. The AWS Support team is both a self-standing P&L and a critical operational function with the ability to drive Free Cash Flow and a world-class customer experience.
CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world's best networking company by solving customers' increased demand for reliable and secure connections. The company also serves as its customers' trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business. Key member of the Ops Transformation team who will support our Field Operations and Service Assurance teams with insights gained from analyzing company data. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and delivering solutions to drive KPI improvements.