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The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.
As a Variant Scientist, you will classify somatic and germline variants, analyze molecular data using various software tools, interpret scientific literature, and generate high-quality clinical reports. You will also ensure quality control and may provide training for junior team members.
As a Data Scientist at Raptive, you will analyze large data sets to derive insights, build metrics, and develop solutions. Responsibilities include designing experiments to improve revenue, classifying audience content, and visualizing complex systems while working with various technologies and data generation processes.
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
As a mentor at Udacity, you will provide technical support to students in their academic journeys, answer technical queries, review project submissions, and offer personalized feedback, ensuring a supportive learning environment.
As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.
The General Scientist will perform professional environmental services including consulting, assessment, monitoring, and compliance with regulations. The role requires expertise in fields such as environmental science or related disciplines and involves conducting research, analyzing data, and communicating findings effectively.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
The Data Scientist will collaborate with domain experts to translate requirements into data science tasks, perform exploratory data analysis, and develop machine learning models. Responsibilities include integrating diverse data sources, creating data visualization tools, conducting spatiotemporal analyses, and staying updated with advancements in the field.
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