As a CCO Data Architect, you'll have a hands-on role in improving business operations by creating practical data management solutions and leading efforts in data organization and analysis.

In this role, you will lead complex projects that fuse machine learning, predictive analytics, and data analysis techniques to advance our diagnostic technologies. Strong knowledge of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques.

Data driven mindset with a Bachelor"'s/Master"'s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics. Strong SQL skills and visualization skills with a lot of attention to granular details in data.

Requires SQL for data warehouse work and Python (and/or R) for development of machine learning functions. We are seeking a Data Analysis/Scientist will collect, analyze, and interpret vast amounts of product and service data from various enterprise systems using analytical, statistical, and programming skills within KLA's Global Support Services (GSS) business unit.

Required Skills: Data Scientist, Google Big Table, Kubernetes, Docker, AWS Machine Learning, Mongo DB. Demonstrate proficiency in AWS Machine Learning for geospatial data analysis and modeling.

Understands the memory model, barriers, lock free data structures, atomics, and caching behavior of most popular architectures (x86, ARM), as well as some of the constraints related to MMIO, DMA, and working with hardware devices.

These are exciting times and our team is still new and growing fast, working on ambitious new initiatives such as providing canonical implementation of core components for data planes through a data-plane runtime framework, developing a remote persistent storage solution with the latency and performance comparable to that of a local nVME drive or developing standard and tooling to identify critical performance improvements across OCI data-planes.

You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.

Proficiency in advanced data visualization tools such as Power BI, Looker, or D3. Experience with data visualization using Tableau or similar BI tools to create end-to-end dashboard solutions and reports for diverse users.

SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.

Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.

We are looking for a Senior Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.

LLM Global Data is a team focused on producing international data for LLMs. For the training of large models, data is the lifeline of model quality — and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.

Data visualization tools, specifically Tableau, and statistical analysis tools such as R or Python. Identify business problems and solve them by using various numerical techniques, algorithms, and models in Operations Research, Data Science, and Data Mining.

The Associate Data Scientist will collaborate with a diverse group to design, build, maintain air quality sensors, and analyze air quality data for the EPA, USGS, and other stakeholders.