Who's Hiring Data Scientists? Facebook, Google, Stumbleupon and More

Groupon, ADP, and PayPal are also among eight examples of companies looking to hire data scientists

Across industries, hiring managers and staffing pros are buzzing about a new class of data professional – the data scientist. Facebook, Google, StumbleUpon and PayPal are among the big-name companies currently looking to fill this critical role, which deftly blends business, analytics and computer skills. Read on to see their exact requirements. Main story: Could data scientist be your next job?


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Who’s hiring: Facebook

"Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher. The ideal candidate will have a keen interest in the study of an online social network, and a passion for identifying and answering questions that help us build the best products." Source: Facebook's data scientist job posting

Qualifications include: M.S. or Ph.D. in a relevant technical field, or 4+ years experience in a relevant role; extensive experience solving analytical problems using quantitative approaches; comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources; a strong passion for empirical research and for answering hard questions with data; and expert knowledge of an analysis tool such as R, Matlab, or SAS.

Who’s hiring: Google

"As a decision support engineering analyst, you will help evaluate and improve Google's ads. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring ads quality, looking into problems such as how to optimize both our ads quality and our revenue and how to build models of end-user behavior." Source: Google's data scientist job posting

Qualifications include: M.S. or Ph.D. in statistics or related field; 4 years relevant work experience; substantial real-world experience, especially in areas such as data; ability to draw conclusions from data and recommend actions; demonstrated willingness to both teach others and learn new techniques; and demonstrated leadership and self-direction.

Who’s hiring: StumbleUpon

"You will have access to data on over 15 billion stumble/rating/review records, as well as preference and markup data on over 50 million websites, and 15 million users. You will write data mining algorithms and/or work with data mining tools in order to discover interesting patterns and track changes in the data. You will present your findings to the research team and eventually the whole company." Source: StumbleUpon's data scientist job posting

Qualifications include: advanced degree (Ph.D. or Master’s) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research or related fields); experience in working with very large datasets; experience with data mining tools; strong mathematical and statistical background; and programming skills in Java/PHP or other languages.

Who’s hiring: Groupon

"Are you passionate about large scale data analysis and modeling? Do you wish you had the opportunity to translate your ideas to practical solutions for some of the most interesting and challenging problems in the internet industry? And most importantly, are you excited to be part of a fun, fast paced and growing team with lofty ambitions?" Source: Groupon's data scientist job posting

Qualifications include: Ph.D. in data mining, machine learning, statistical analysis, applied mathematics or equivalent; 3+ years hands-on practical experience with large scale data analysis; and fluency in analytical tools such as SAS, R, etc.

Who’s hiring: PayPal

"This position is part of a Big Data Platform team at PayPal – focused on Risk Management. This is a unique opportunity to be part of a core team of machine learning engineers and scientist; an opportunity to build solutions for managing and mining big data. We work very closely with the statisticians and analysts to apply advance analytics techniques to solve fraud detection business problems." Source: PayPal's senior data scientist job posting

Qualifications include: Experienced engineer/scientist with a broad understanding of technology stacks used in data mining; experience with HADOOP, Map/Reduce and PIG; strong hands-on experience with a programming language like Java and/ or scripting language (Perl / Python/ Shell scripts etc.); and Master’s degree or equivalent.

Who’s hiring: ADP subsidiary Autotegrity

"Do you enjoy finding opportunities to exploit by digging through large data sets? Are you a hacker who can throw together a system that leverages and automates your findings? Does the idea of being one step ahead of the competition excite you?” Source: Autotegrity's data scientist job posting.  

Qualifications include: B.S./B.A. in computer science, math, or another technical major; 2+ years work experience preferred; demonstrated experience in AI techniques, semantics, statistical analysis preferred; working knowledge of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM; strong foundation in statistics.

Who’s hiring: Trulia

As a part of Trulia’s new data science lab, "you’ll have the opportunity to work with massive datasets -- think trillions of user actions and millions of homes. You’ll get to work on (and help build) a team that loves AI technologies, and can’t get enough of data visualizations. You’ll get to propose projects, and see them through the whole lifecycle.” Source: Trulia’s data scientist job posting 

Qualifications include: Java, Hadoop experience required, experience with R, JavaScript is a bonus; experience with (or a strong desire to use) the latest AI, machine learning, data mining, and network science algorithms; appreciation of good design and beautiful products; and B.A., B.S., M.S., or Ph.D. in computer science, data mining, statistics, or applied mathematics

Who’s hiring: Fitbit

"We are building a world-class research team of hacker-scientist-types to dream up, prototype, and deliver shipping products. A successful candidate will have deep experience in applying machine learning and statistics toward understanding structured and unstructured data. Research responsibilities will include exploratory data analysis, data visualization, and developing prototypes and metrics to drive product and business decisions.” Source: Fitbit's posting for a data scientist, R&D.

Qualifications include: 3 to 5+ years work experience or Ph.D./M.S. in statistics, applied mathematics, or computer science; mastery of machine learning and data mining: classification, clustering, time-series analysis, recommender systems; proficient with statistical or numerical analysis tools (R, Matlab); and experience with Java, Stripes, Spring, mySQL, Solr, and distributed ehcache.

Copyright © 2012 IDG Communications, Inc.

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