[unable to retrieve full-text content]The ideal candidate should be passionate about working on cutting edge research and analytical services for Fortune 500 companies, global pharma/biotech firms and leaders in industries such as finance, energy and life sciences.
Original Post: Analysis Group: Data Scientist
[unable to retrieve full-text content]Currently we are expanding our team to support projects that focus on Artificial Intelligence and Cognitive analytics. We are looking for an expert in this field from business/academia with extensive experience in this area.
Original Post: Microsoft: Principal Data Scientist (Artificial Intelligence & Deep Learning)
[unable to retrieve full-text content]In businesses everywhere, the digital transformation is spawning a bunch of new job titles. Among them are Chief Data Officer, Big Data Architect and Data Visualizer. All these sought-after specialist data roles are having a major impact on the workplace.
Original Post: Role of the Data Scientist in the B2B Era
[unable to retrieve full-text content]Seeking a Chief Data Scientist/Advanced Analytics Director who is a business minded data scientist with capitalism built into their DNA, a a technology polyglot, fluent in R and SQL + (Java, Python, Scala, NoSQL, etc), who imagines a data model that is widely accepted and highly profitable in our industry and beyond.
Original Post: Clear Capital: Chief Data Scientist/Advanced Analytics Director
[unable to retrieve full-text content]Seeking a Data Scientist, responsible for applying advanced analytical methods to improve decision-making at Staples, using machine learning, statistical analysis, and mathematical optimization and playing a key role in supporting the development of state-of-the-art solutions.
Original Post: Staples: Data Scientist
[unable to retrieve full-text content]Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.
Original Post: Data Scientist: Learn the Skills you need for free
[unable to retrieve full-text content]Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Machine Learning Crash Course: Part 1; An Introduction to the MXNet Python API; How A Data Scientist Can Improve Productivity; Data science platforms are on the rise and IBM is leading the way
Original Post: KDnuggets™ News 17:n21, May 31: Python Machine Learning Workflows from Scratch; Machine Learning Crash Course
[unable to retrieve full-text content]Seeking a candidate to play a central role in a fully funded, multimillion-dollar project to rapidly accelerate the global creation, exchange, and uptake of knowledge about modern slavery, human trafficking, forced labour, and child labour – and how to fight them successfully.
Original Post: United Nations University: Data Science Lead
[unable to retrieve full-text content]Data Science projects involve iterative processes and may need changes in data at every iteration. But Data versioning, data pipelines and data workflows make Data Scientist’s life easy, let’s see how.
Original Post: How A Data Scientist Can Improve Productivity
[unable to retrieve full-text content]There are elements of what we do which are AI complete. Eventually, Artificial General Intelligence will eliminate the data scientist, but it’s not around the corner.
Original Post: Will Data Science Eliminate Data Science?