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Top Software Data Science Jobs
The Marketing Science Analyst role involves collecting and analyzing consumer behavior data, developing statistical models, and creating insight dashboards. The analyst collaborates with teams to present analytics-driven insights that support business decisions and improve performance.
The Senior Marketing Science Analyst at Analytic Partners will lead the development of customer programs through data collection, modeling, and interpretation of results. They will provide strategic recommendations, maintain strong customer relationships, and mentor junior analysts while solving complex business challenges through data insights.
The Staff Research Scientist will leverage NLP expertise to develop AI technology for enhanced meeting experiences. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and shaping product quality. The role also involves collaborating with engineers to evaluate model performance and explore new capabilities from large-scale data.
The AI Research Scientist will lead research in generative video models, collaborating with the Applied ML team to enhance production efforts. Responsibilities include structuring research projects with industry relevance, staying updated on technological advancements, and contributing to publications in the field.
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Collaborate with enterprise customers to identify pain points, develop solutions, and enhance existing products on Haus's decision science platform. Responsibilities include building models/products and deploying customer data solutions by working with cross-functional teams.
The Senior Data Scientist role involves providing technical expertise for a U.S. Government contract. Responsibilities include leveraging advanced technologies and programming languages like Python and Java, participating in machine learning/AI projects, and working both independently and in teams on critical software and systems sustainment.
The role involves designing, developing, and operating solutions to complex cryptologic computer science problems. Responsibilities include developing forensics, attack attribution, and network protection solutions using advanced computer science techniques and tools.
As a Principal Data Scientist at At-Bay, you will drive informed business decisions through advanced data modeling and analytics. You will create a data platform to enhance risk assessment frameworks, collaborate with cross-functional teams, and develop predictive models to analyze cyber incidents.
The Sr. Fraud Data Science Engineer will develop ML models to detect and predict fraud, automate workflows, and provide data-driven insights. The role involves collaborating with teams to enhance fraud detection capabilities and delivering root cause analysis for scale.
As a Data Scientist, you'll analyze large datasets, manage machine learning pipelines, and interpret product experiment results. You'll utilize machine learning, statistics, and data mining techniques within a collaborative environment, focusing on eCommerce or Online Retail applications.
The Senior Revenue Analyst will support revenue operations, assist with month-end close, booking entries to the general ledger, represent the revenue team on product rollouts, draft accounting memos, and perform ad hoc analyses. This role focuses on accurate financial reporting, contract negotiation, and controls design over revenue reporting.
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