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Apple Senior Data Scientist - Experimentation United States, West Virginia
8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end...
Managing a portfolio of BAU and Initiative project work specific to the enterprise’s Authorized Data Source – serving many LOBs as well as critical risk & loss mitigation functions –...
Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance. Lead partnerships with cross functional teams to define collaboration model...
Excellent C and systems programming skills. Strong understanding of operating systems internals. Industry exposure to and knowledge of OS security and applied cryptography. Ability to deliver solid work on tight...
A huge part of our work involves developing end-to-end AI solutions for enterprise use cases. We help customers adopt NVIDIA AI SDKs and APIs by offering deep technical expertise and...
Experience building enterprise-level data applications on distributed systems. Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query. Programming experience in building high-quality software...
Analyze and Respond: Complete daily, continuous analysis of Endpoint Data Loss Prevent events (and others) with accurate results within the defined business SLA. Team Up for Impact: Collaborate with cyber...
8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end...
A career as an Enterprise Data Architect offers great potential to those with a passion for technology and organizational development. A Data Architect is a vital link between both the corporate world and the Information Technology (IT) industry, and will ensure that a company’s Enterprise Data Strategy is followed. The successful individual will possess advanced knowledge and be able to effectively communicate their ideas to their colleagues.
The Enterprise Data Architect role requires an individual who is able to analyze an organization’s data infrastructure and recommend changes that will support the business’s technology and data requirements. In addition, the Data Architect will be responsible for the development of data models, which are used to parse and store integral data sources. Furthermore, the Enterprise Data Architect will be required to understand the metadata schemas and concepts of transforming data from one format to another.
The successful candidate must be well-versed in SQL and NoSQL as well as Big Data technology for creating data marts and data lakes. Additionally, the Data Architect will have expertise in developing standards and policies for data governance and security.
Overall, the Enterprise Data Architect role is a rewarding and challenging position, where the successful candidate is expected to apply their analytical and technical skills to ensure efficient and effective data management across the enterprise. If you feel you have what it takes and have the right mindset to ensure success in this venture, Expoint can help you start your journey in this highly sought-after role.