Top Data Science Jobs
Seeking a Data Scientist to advance data science initiatives, conduct experiments, and develop data pipelines. Responsibilities include modeling user behavior, forecasting company growth, and driving data-driven insights and actions. Must have a Bachelor's degree in Data Science or related field.
The Principal Scientist will provide scientific leadership in identifying and validating new drug targets, advancing novel therapies, and developing technologies to accelerate drug research through external innovation. Responsibilities include leading external collaborations, project oversight, conducting due diligence, and contributing subject matter expertise in metabolic diseases. The position requires strong project management skills, innovation drive, and excellent communication abilities.
The Sr. Associate Security Data Specialist is responsible for managing the ISAR review environment, data accuracy, and streamlining the collection and review process. They develop, design, and maintain automations in various ISAR platforms, oversee data processes, work with internal/external counsel, stay updated on digital forensic technologies, and coordinate with the investigations and legal/compliance teams.
Featured Jobs
Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Join Caterpillar Inc. as a Data Scientist to transform rental data into strategic business insights, drive innovation, and collaborate with cross-functional teams. Utilize data science techniques to optimize digital investments and enhance customer engagements. This role involves data gathering, data mining, machine learning, and presenting insights through data visualization technologies.
Join Mondelēz International as an Advanced Analytics and Data Science Platforms Manager responsible for overseeing platform-related activities, driving multi-cloud integration strategies, and ensuring the efficient administration and enablement of analytics and data science platforms. Collaborate with cross-functional teams to leverage data and analytics for business growth and innovation. Responsibilities include platform setup, user and access management, resource allocation, monitoring and performance optimization, security and compliance implementation, integrations, troubleshooting and support, upgrades and patches, documentation and training.
The Chief Scientist/Technical Fellow role at STR involves developing a cohesive strategy and providing technical oversight for sensing and counter-sensing programs. Responsibilities include technical marketing, proposal development, leading teams in designing solutions to national security problems, and serving as a primary technical point of contact for customers. The ideal candidate must have a Top-Secret security clearance, 15+ years of relevant experience, and a proven track record in technical proposals and leading technical teams on R&D programs.
The Chief Scientist/Technical Fellow at STR will lead the development of cohesive strategies and provide technical oversight for sensing and counter-sensing programs. Responsibilities include technical marketing, proposal development, leading teams, and collaborating with customers in the Defense and Intelligence Communities.
Chief Scientist/Technical Fellow position at STR requiring expertise in signal processing, hardware, machine learning, AI, and software development. Responsibilities include technical marketing, proposal development, leading teams, and engaging with Defense and Intelligence Communities.
Deepgram is seeking an experienced Research Scientist to work on building models in the voice AI domain. The role involves developing accurate and performant voice AI models using deep learning techniques. The candidate should have experience in areas such as automatic speech recognition, text-to-speech, diarization and speaker identification, language detection, and code switching. They should also have expertise in speech data curation, neural network architectures for speech, distributed training, and model optimization.
Processing, cleansing, and verifying data, analyzing large datasets, building classifiers using machine learning, communicating findings effectively, and predicting future trends.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, leveraging a broad stack of technologies to build machine learning models and reveal insights hidden within data. The role involves partnering with a cross-functional team and translating complex work into tangible business goals.
Principal Data Scientist role at Capital One focusing on leading the US Card Acquisitions Data Science team to build machine learning models for core underwriting decisions. Collaborate with cross-functional teams to deliver innovative solutions using advanced technologies like Python, AWS, and H2O. Ideal candidate is customer-focused, innovative, creative, technically proficient, statistically-minded, and a data expert.
Partner with a cross-functional team to deliver AI powered products, leverage technologies like Pytorch and NLP for data analysis, build machine learning and NLP models, and translate complex work into business goals.
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