Data science is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data. Data Scientists tackle challenging real-world problems leveraging big data, high-performan...
Proven experience in data analysis, database design, and data visualization. The ideal candidate will be responsible for being lead in analyzing data, generating insights, and implementing data-driven strategies to drive business growth. Utilize tools such as Python (Pandas DataFrames and accessing ...
Experience with data gathering, data quality, system architecture, coding best practices. Infosys is seeking a Data Scientist with Machine Learning (ML), AI and Python experience. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Data S...
Be proficient in database technology, design, and manipulation. Be knowledgeable in normalized/dimensional data modeling principles. ...
As the Product Manager for Data Platform, you will own the strategy and roadmap for providing a data platform that powers Splunk’s business insights, analytics, reporting, and data applications across the company. Past experience working on data products, data warehouses, and/or other data-centric s...
We are searching for a full time data entry specialist to jion our highley respected client that offers longevity and stability. This is a billing and financial data entry position – this group is responsible for paying the companies installers so attention to detail is paramount. They will need to ...
Deep understanding of data platform market (Big Data, Databases, Query Processing, Data Lakes), competition, and industry. You will use your understanding of the data platforms, analytics, big data, cloud technologies, scalability, and high availability to synthesize ideas that improve and evolve Sp...
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Requisition Number7581Employment Type:Regular.Worldwide Clinical Trials (Worldwide), a leading global contract research organization (CRO), works in partnership with biotechnology and pharmaceutical companies to create customized solutions that advance new medications – from discovery to reality.Anc...
Create an architecture for utilizing and publishing data within the data mesh. We are seeking an innovative Data Solution Architect/AI Architect to join our expanding team. Collaborating closely with teams of data scientists and machine learning engineers, you'll be at the center of driving innovati...
To develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program ...
Designs and prepares reports by accessing databases or by consolidating data from multiple sources. Sources of data may be enterprise systems, complex spreadsheets, databases, etc. HR Data Reporting Analyst (DPW). Summarizes data and provides commentary or observations based on analysis. ...
Title: Data Clerk, High School Counseling. Under direct supervision, performs a variety of support duties, including compiling, sorting, verifying accuracy, and disaggregating of student achievement data. Compiles, sorts, and verifies accuracy of student transcript data to be entered, scanned, or re...
Are you a DevOps engineer who can easily navigate the world of Big Data? If so, we have an excellent opportunity for you. Lead / Senior DevOps Engineer (Big Data). Exposure to Big Data systems Hadoop ecosystem, Cassandra, Spark. ...
Experience with Azure Data Factory and Synapse. ...
The primary focus of a Data Center Technician within IT Operations is to participate in projects that support technology growth and innovation. The Data Center Technician also provides advanced technical support for all IT systems including server platforms, storage, and other cross-functional capab...
Senior / Lead Data Engineer (Scala, Elasticsearch). Knowledge of SQL / NoSQL databases. ...
To collect, analyze and report data; to be responsible for the data integrity; and to generate reports verifying and ensuring data integrity and accuracy. Ensures data integrity; develops and produces reports utilized in measuring data accuracy. Compiles data; prepares and distributes reports; and a...
The role involves experimenting with emerging technologies, data collection and preprocessing for machine learning models, and staying updated on the latest developments in machine learning and computer vision research. ...
As a member of the Medicaid Data Integration team, you will provide value to customers by delivering outstanding integration solutions. In this role you will have hands on experience in the full development lifecycle, working with diverse data formats on industry leading technology, like Informatica...
They must have strong experience using a variety of data mining/data analysis methods and data tools, building and implementing models, using/creating algorithms and creating/running simulations. We are looking for a Data Scientist who will support our product, sales, customer retention, leadership ...
Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic ...
Cloud Data Engineer with Data Fabric - Big Data Processing - Apache Spark<br /> <b>Job Location:</b> Remote USA<br /> <b>Job Duration: </b>Long-Term</div> <div> </div> <div><b>Job Description:</b><br /> </div> &...
Project Manager, Data and Analytics to join our Data Insights and Analytics team. Work with Analytics, Data Management, and business stakeholders on development of project schedules. Contribute to business valuation of data and analytics projects. Ability to allocate and manage resources effectively...
Coordinate with data source owners (internal and external) to implement the defined data model in their processes to collect, normalize and validate asset level data. Have you been part of the investment industry for several years with a growing interest in data governance and analytics? Do you want...