11 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...

Consistently named one of the top D.C. start-ups to watch since 2016, Quorum builds software that helps public affairs professionals work smarter and move faster. Our philosophy is people-first, whether we're supporting team members in their careers or prioritizing our clients with a best-in-class customer success program. Quorum's clients use our tools to bring a modern approach to advocacy work in Congress, all 50 state legislatures, major U.S. cities, the European Union, and more than a dozen countries. The Demand Generation Manager will help generate demand for Quorum by creating account-targeted campaigns to fill our inbound and outbound funnels. You will create campaigns using our website, email marketing via Hubspot, ads across a variety of channels, and an account-based marketing platform. While your work will benefit Quorum’s growth in a wide variety of ways, your success will primarily be measured by your ability to deliver warm leads from organizations within your...

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,...

As part of the Data Monitoring and Management group, an integral delivery unit within the Global Biometrics and Data Management (GBDM) organization, the Data Manager is responsible for timely and high quality data review and query management of clinical data supporting the Pfizer portfolio. The Data Manager develops and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data. ROLE RESPONSIBILITIES Serve as Data Manager for one or more clinical trials assuming responsibility for DMM activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and...

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. Our Sales Engineering organization is seeking a Principal Data Platform Architect to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures...

About the Job Join us and be a part of a start-up cell of a large international company where you will be working with state-of-the-art technology, make use of NLP and Machine Learning, and where your career can grow exponentially. You will be part of the Paperpal team powered by CACTUS, where we are rethinking how science is communicated and helping scientists write better science smarter. You will be part of an international working environment with employees across the EU and Asia, who work together to build cutting-edge web experiences and APIs used globally by scientists. This is a remote working opportunity . Responsibilities: Write new functionality in an existing frontend framework, a modern tech stack with React, Node.js, Redux and Typescript , with focus on the Typescript part of the stack Working with tools, technologies and plugin architectures that will challenge your abilities to write and work in asynchronous editing scenarios to achieve...

As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. The successful candidate will be a self-starter, comfortable...

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. JOB DESCRIPTION Provide technical and thought leadership designing, testing and implementing methodologies to forecast and monitor metric time series. Develop algorithms to detect anomalies, assess risks/threats, and core metric fluctuations with our Security team. Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, product managers and company leadership. Interface with engineers, product managers and product...

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...