Requires BS/BA degree in Mathematics, Statistics , or related field; 2-4 years of experience in broad-based analytical, managed care payor or provider environment; experience in statistical analysis ...
The role will manage and lead the team to ensure appropriate statistical approaches for the design and analysis of clinical and nonclinical studies are employed and ensure the proper interpretation ...
Previous Startup Experience MS or PhD in computer science, operations research, statistics or related field Exposure to very large forecasting and optimization problems and techniques, including ...
Leveraging extensive comprehension of mathematical and statistical concepts and data science to bridge the gap between software and tool development and analytical requirements * Designing and ...
May act as SMT statistician for complex Phase 3 studies. Will also have increased exposure to KOL collaborations/meetings. Successful candidate will: • Represent Biostatistics on CDT/Asset teams ...
Develop trading strategies using statistical and machine learning algorithms * Design and implement optimization algorithms for portfolio construction * Advance existing initiatives and explore ...
Essential Functions: • Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data. • Develop novel ...
Experience with and knowledge of statistical analysis for large data sets.Experience with and knowledge of various data visualization methods and techniques, including selection of the most ...
Quantitative background (BA/BS in Math, Statistics , Economics, Computer Science) with extensive experience in design and visualization, alternatively BA/BS in a Design (interaction, graphic, product ...
Proficiency in the use of statistical packages.Proficiency in
This requires the use of sophisticated distributed systems, the development of high-availability APIs, and the application of statistical techniques. As part of your job, you will handle large ...
Bachelor Degree and 7 years experience in health care services, statistical analysis, or insurance industry economics including 4 years experience in data analysis and information reporting relating ...
An understanding of the mathematics of radiation, including statistics . * Comfortable with computer use, including some experience in programming. * Ability to work as part of a multidisciplinary ...
Educated to degree level (Economics, Math, Statistics , CS, or Engineering is preferred) * Basic SMS and/or Voice industry knowledge * Basic understanding of Telco quality metrics (ASR, NER, MOS, etc.
Statistical Modelling * Story-telling using data and insight * Problem Solving *** dunnhumby is unable to offer visa sponsorship for external candidates
This position is responsible for providing advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems; performing complex ...
The primary focus of this role will be in applying data mining and predictive analytics techniques, doing statistical analyses, and building high quality information systems integrated with our ...
Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation ...
Working with our statisticians , create computational models for vehicle behavior and performance. * In collaboration with the Safety & Risk Architect, you'll identify safety-related trends and ...
Design, deploy and maintain statistical , predictive and data mining models to translate data into meaningful insights and recommendations across my clients financial, operational and strategic ...
The Data Scientist will apply techniques from machine learning and computational statistics to clinical, administrative, and social media data to create immense value for patients and health systems.
Develop processes and tools to monitor and analyze model performance and data accuracyBroad knowledge across the entire data science lifecycle, including data engineering, statistics and ...
We also have a strong preference for some modeling and statistical knowledge. Accompanying this broad set of responsibilities is exposure to many functional areas, as well as senior management ...
... statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs, etc), and experience applying these techniques to solve real problems in one of the modern distributed ML and ...
... statistics , applied mathematics, computer science, physical sciences, or a similar technical fieldExperience developing and deploying machine learning / deep learning solutions The versatility to ...