Top Data & Analytics Jobs
The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.
The Associate Scientist will perform analytical testing to support the development of microbial protein therapeutics, using various analytical techniques. Responsibilities include method design, documentation, data presentation, and collaboration with teams to ensure compliance with GMP standards.
The NetSuite Senior Consultant 1 will work on NetSuite projects including implementations, enhancements, and integrations. The role involves defining business requirements, documenting processes, customizing NetSuite, testing functionalities, providing user training, and assisting with project reports.
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The Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.
The STARS Improvement Analyst develops and implements Medicare/Medicaid Stars programs, focusing on quality improvement initiatives. Responsibilities include data analysis, report creation, and communication of program results, while collaborating with various departments to identify gaps in care.
As a Field Data Collector, you will collect parking data by walking or biking through assigned areas and using a mobile app to document your findings. This includes counting open on-street parking spots and submitting data accurately and on time. Attention to detail is crucial, as is the ability to work flexible hours during specified time slots.
The Cyber Financial Fraud Intelligence Analyst provides analytical support to the Postal Inspection Service by identifying cyber-crime activities, coordinating with public and private sectors on fraud detection, and analyzing intelligence relevant to fraud cases. The role requires regular reporting and collaboration to mitigate risks associated with financial fraud in postal operations.
Research and test new optical technologies for wafer inspection implementations, conceive new concepts based on solid physics understanding, validate concepts through modeling and experiments, design and build optical imaging test benches, work with engineering team to implement new technologies.
The Data Scientist will develop algorithms and applications to extract insights from data, perform statistical analysis, create visualizations, and optimize AI/ML frameworks. Responsibilities include troubleshooting service offerings, collaborating with teams for model scalability, and consolidating big data sources.
As a Data Scientist at Roche, you will lead and implement quantitative drug development strategies, collaborate with stakeholders, and support various phases of clinical trials to develop innovative healthcare solutions. You will utilize data expertise to simplify processes and drive initiatives within the organization.
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