3 jobs found

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. Snowflake is looking for an experienced Website Optimization Manager to drive performance optimization of snowflake.com and related subdomains plus various online-focused marketing campaigns. RESPONSIBILITIES: Leverage web analytics tools (GA, Bizible, Snowplow, etc.) to provide data-driven suggestions to demand generation functional areas (inbound, outbound, product marketing, content, field) to improve website performance. Monitor key site performance metrics and manage...

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...