6 jobs found

FLSA Status: Exempt Earliest Start Date: 02/01/2021 Salary: Salary commensurate with experience Hours per Week: 40.00 Standard from 8:00 AM to 5:00 PM Hiring Department: Office of Institutional Research and Analysis Required Application Materials: A resume and letter of interest is required in order to apply. Purpose of Position Manage business intelligence, data warehousing, and contractor staff responsible for providing management information and analysis to support strategic initiatives and institutional efforts of the University of Texas System.  Work closely with institutional researchers to turn raw data into useful information via dashboards, web reporting, and other information delivery methods for the Office of Institutional Research (OIRA). Essential Functions Manage/supervise business intelligence, data warehousing and contractor staff; develop and make project plans for new technical projects, coordinate projects and...

As part of the Data Monitoring and Management group, an integral delivery unit within the Global Product Development (GPD) organization, the Clinical Data Scientist is responsible for timely and high quality data management deliverables supporting the Pfizer portfolio. The Clinical Data Scientist designs, develops, and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data, oversees application of standards, data review and query management, and is accountable for quality study data set release and consistency in asset/submission data. ROLE RESPONSIBILITIES Serve as Clinical Data Scientist for one or more clinical trials assuming responsibility for all DM&M activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence Participates and ensures quality database design including documentation,...

Are you interested in making an impact and partnering with various Amazon businesses including our e-Commerce websites, Prime, Alexa and AWS? Ever wonder how it feels to have hundreds of thousands of users counting on you to be performant, innovative and adaptable? Access Management Systems (AMS) is the group for you! We are responsible for the protection of customer and corporate data, while being connected to all parts of Amazon's business and its massive worldwide service-oriented architecture. Whether you're passionate about building highly scalable and reliable systems in the cloud or a software developer who likes to solve interesting and complex business problems, AMS is the place for you. We are looking for a Software Development Engineer to design and build large scale, highly impactful Permissions and Access Management Systems with company-wide reach. There is ample opportunity to innovate and deliver high impact outcomes. You will collaborate with the...

Provides automation solutions for complex projects from an end-to-end perspective including, front-end, middle-tier, and back-end data providers, using Automation frameworks (Selenium), Java and JavaScript, Cucumber DBB framework, and REST Assured. Participates in Scrum activities -- test coverage reviews, story grooming sessions, and sprint planning. Develops and automates manual test concepts using Behavior Driven Development (BDD). Provides business solutions by developing complex or multiple software applications. Primary Responsibilities: Develops original and creative technical solutions to on-going development efforts. Designs applications or subsystems on major projects and for/in multiple platforms. Develops applications for multiple projects supporting several divisional initiatives. Supports and performs all phases of testing leading to implementation. Assists in the planning and conducting of user acceptance testing. Develops comprehensive...

Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...