Top Data Science Jobs
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.
Featured Jobs
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.
The Analyst, Video Revenue Operations plays a key role in the pre/post sale of digital video advertising campaigns, ensuring business success and client satisfaction. Responsibilities include pricing review, campaign optimization, KPI analysis, post-campaign reporting, and collaboration with sales teams. The ideal candidate is analytical, self-motivated, and has experience in digital/video advertising.
Provide level 1 customer support, investigate and escalate client queries, collaborate with senior staff, document actions in CRM and Jira, contribute to process improvement projects.
Seeking a Senior Research Scientist to work on complex problems in the Trucking industry by developing new science-powered features within the Convoy Platform. Responsibilities include designing and developing auction systems, prediction models, and algorithms to optimize freight pricing, workforce planning, fraud prevention, and load recommendations.
Join PropertyRadar as a Revenue Operations Analyst to optimize internal systems, implement workflows, and connect Marketing, Sales, and Customer Success teams for sustainable growth. Responsibilities include aligning teams, managing RevOps framework, implementing reporting processes, optimizing workflows, and improving customer satisfaction. Requires 2 years of experience in revenue operations, strong proficiency in HubSpot and data analysis tools, and excellent analytical and communication skills.
As a Staff Applied Scientist, Machine Learning - Perception, you will drive impact-focused projects addressing challenges on urban roads with non-standard solutions. Responsibilities include exploring, prototyping, optimizing algorithms, identifying perception stack problems, initiating new projects, and guiding technology choices.
Build and enhance data products that inform pricing strategy and reinforce the value proposition of mental health programs.
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