As a Sr Data Scientist, you will take lead on exploring and creating business value from data science operations in new business data domains, working with our data model architects, machine learning architects, storage architects, product managers, and line of business owners, You will formulate strategies for Exploratory Data Analysis (EDA) and follow-on data science processes and architectures, including statistical analysis, machine learning modelling etc.
In this role, you will work on cutting edge problems in applied aI and ml in one or more of the following areas: computer vision, object detection and localization, speech recognition, natural language processing, recommendation systems, forecasting, and multimodal learning.
In this role, the successful candidate will work cross-functionally to identify, quantify and mitigate design and process risks via failure modes and effects analysis (FMEA) or other risk management processes.
The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. Term length would be considered on a case-by-case basis.
As a member of our engineering team you will tackle challenging issues of scale, reliability and security while delivering a delightful, simple user experience to a global user base. If you love writing code, hate tons of meetings, then come talk to us.
The ideal candidate will have experience in developing natural language processing and understanding systems in different contexts such as information retrieval (web search engines), intelligent agents, spoken dialog systems or recommendation systems in many different languages.
In this role, you will develop models and algorithms that drive innovation throughout the supply chain. This may include inventory planning and deployment, network planning, order routing, and order fulfillment and delivery.
In this role, the successful candidate will contribute to inventing, speeding up, developing, evaluating, recommending, adapting, improving, optimizing, validating, integrating, documenting and supporting these analysis solutions.
The successful candidate will part of Visa Security Analytics program and design, develop and implement statistical and machine learning anomaly detection models in the Hadoop ecosystem. Visa Security Analytics (VSA) program has an enterprise security focus, and is responsive to evolving threat landscape, regulatory compliance, IT security requirements and technology architecture.