Data scientists are getting hotter?

Now, many industries have started to find the right person for a new data technology-related position, which is data scientists. With the participation of big-name companies such as Facebook, Google, StumbleUpon and PayPal, data scientists have become increasingly hot on the job. This kind of talented person can skillfully combine the business, analytical work and computer skill, bring us unprecedented enterprise productivity promotion and blank filling function.

Facebook

"In this position, you will be a software engineer and a measurement researcher to enjoy the comfort of the work process." Ideally candidates should have a good grasp of online social networking research topics and have great enthusiasm in exploring and identifying problems. It can be said that this job is a key guarantee to help us build good products. "Facebook has described this in its own data-scientists recruiting information.

Requirements for candidates include: Master's or Ph. D. In relevant technical fields, or with more than four years of relevant practical experience, experience in solving analytical problems with metering methods, familiar with tool operation and complex condition analysis, ability to handle high capacity and large span data from different sources , passionate about practical research and know how to answer difficult questions with data, and have solid knowledge and experience in analysis tools such as R, Matlab and SAS.

Google

"As a decision-support engineering analyst, your job is to help Google evaluate and improve its advertising business." You will work with the technical staff of other disciplines in the enterprise to conduct analysis on a range of challenges. This position requires rigorous analytical attitudes and statistical solutions to address a number of challenges, including measuring advertising quality, optimizing advertising content and promoting revenue, and creating the most appropriate promotional campaign based on end-user usage habits. "Google has made the above description in its own data-scientists recruiting information," he said.

Requirements for candidates include: a master's or Ph. D. In statistics or related disciplines, 4 years of relevant work experience, rich experience, especially in the field of data, be able to summarize conclusions and provide guidance based on data; be willing to share your thoughts with others. Ability to guide work patiently and learn new skills;

StumbleUpon

"You will be exposed to more than 15 billion comments and retrospective records, with more than 50 million websites and 15 million users being screened and labeled." You will be involved in the compilation of data mining algorithms and/or with the help of data mining tools to explore behavioral patterns of concern and track changes in data. Ultimately, the results you find will be a valuable asset to the entire research team and even the entire company. "The StumbleUpon company makes the above description in its own data scientist recruitment information.

Requirements for candidates include advanced qualifications (master or PhD) in analytical or technical fields (e.g. applied mathematics, statistics, physics, Computer science, operational research, or other related disciplines), experience in large data sets, knowledge of data mining tools, excellent mathematical and statistical work experience Master programming techniques in java/php or other languages.

Groupon

"Are you passionate about large-scale data analysis and modeling?" Do you want to have the opportunity to try to deal with the most interesting and challenging challenges in the Internet industry? Can you translate your ideas into practical solutions? Most importantly, are you happy to be a member of a vibrant, fast-paced and growing team? "Groupon makes the above description in its own data-scientists recruiting information.

The requirements for candidates include: Data mining, machine learning, statistical analysis, applied mathematics, such as PhD or equivalent professional knowledge, more than three years experience in large-scale data analysis, proficient in SAS, r and other analytical tools used.

PayPal

"This position is one of the big data platform teams in PayPal, and the core of the job is to focus on solving risk management issues." This job represents a unique opportunity for you to join our machine learning engineers and our core team of scientists, as well as a great opportunity to build large data management and explore solutions. Our business has always attached great importance to the guidance from statisticians and analysts, and through the analysis of advanced technology to complete the business process fraud detection tasks. PayPal makes the above description in its own data scientist recruitment information.

Requirements for candidates include: a mature engineer or scientist with a large number of relevant technical reserves in data mining; proficient in Hadoop, map/reduce, and pig; in Java and/or scripting languages such as perl/python/ Shell scripts and so on) with good hands-on skills, with a master's degree or equivalent.

ADP (Automatic data Processing) Auxiliary Enterprise Autotegrity

"Are you looking for opportunities to shine in the work of discovering large datasets?" Are you a smart hacker who knows how to get your system to accept and run your own software work automatically? Is the idea of a step ahead of the competition exciting and willing to do your best? "The Autotegrity company makes the above description in its own data scientist recruitment information.

Requirements for candidates include: Bachelor's or bachelor's degree in Computer science, mathematics or other technical field; More than two years working experience is preferred; expertise in the fields of artificial intelligence, semantics, and statistical analysis will add points to candidates; be familiar with all kinds of knowledge required by data mining, including regression analysis, clustering analysis, Decision process, neural network, SVM; Finally, the solid statistical basis is the key.

Trulia

As a member of Trulia's new Data Science lab, "You will have the opportunity to deal with a large number of data sets-including trillions of user operations and the day-to-day needs of millions of households." You will help build and join new technical teams, work with partners to solve problems with AI technology, and showcase your unique capabilities in the field of data virtualization. You will choose the items you are interested in according to the proposal, and witness its birth and prosperity throughout. "The Trulia company makes the above description in its own data scientist recruitment information.

Requirements for candidates include: Experience with Java and Hadoop, proficiency in R, JavaScript will make you more competitive; familiar with the latest AI technology, machine learning, data mining, and network science algorithms (or very interested) Good at presenting or evaluating the excellent design and product appearance; you need a bachelor, master or doctorate degree in computer science, data mining, statistics or applied mathematics.

Fitbit

"We are doing our best to build a scientific team with the world's advanced level, where hackers and scientists from all over the globe are working together to transform great ideas into designs, prototypes and eventually products to market," he said. A successful candidate should have extensive experience in machine learning and statistics to understand the implications behind structured and unstructured data. Your research responsibilities include exploratory data analysis, data virtualization, and development of prototypes and participation in product and business decisions. "The Fitbit Company makes the above description in its own data scientist recruitment information.

Requirements for candidates include: 3-5 years working experience or master's/PhD degree in Statistics, applied mathematics or computer science; proficient in machine learning and data mining: classification, clustering, time series analysis, recommendation system; familiar with statistical or numerical analysis tools (e.g. R and MATLAB) Experience with Java, stripes, Spring, MySQL, SOLR, and distributed Ehcache.

Original: Who ' s hiring Data scientists? Facebook, Google, Stumbleupon and more

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(Responsible editor: Liu Fen)