Applied Statistics, Statistical process control/quality assurance, Statistical theory/probability
The Data Scientist will assist faculty, research professionals and PhD students with the use of technology in instruction and research, including but not limited to large data manipulation and management, complex statistical analysis and modeling, data mining and other research methodologies. Work with researchers to apply advanced analytical techniques to extract, manipulate, and analyze large volumes of financial, economic and marketing data.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Consults with faculty on technology requests to support research and teaching.
Assists faculty members with large data manipulation, complex statistical applications, programming, analysis and modeling.
Consults with faculty, research professionals and PhD students on high performance computing (HPC), including optimizing and parallelizing code and leveraging GPU resources.
Co-manages software and configurations on Booth’s Linux HPC cluster.
Serves as primary contact point for all faculty research technology requests and engages other IT resources to assist as needed.
Consults with faculty on requests for research data. Investigates data options from multiple sources to support faculty teaching and research.
Partners with other University of Chicago campus teams, including the Research Computing Center, Computation Institute and Globus to assist faculty with research technology challenges.
KNOWLEDGE, SKILLS AND ABILITIES:
Master's degree is required. Ph.D. degree is preferred.
At least three years of professional work or comparable academic experience required.
Expert level knowledge and at least three years of experience with statistical programming, data querying and manipulation within statistical software packages such as R, Python, Matlab, Stata or SAS is required.
Experience with Linux-based grid/cluster computing is required.
Ability to manage multiple projects simultaneously in a fast-paced environment with strong attention to detail and accuracy is required.
Proven ability to work independently as well as on a team is required.
Strong written and verbal communication skills are required.
Superior quantitative abilities, logical reasoning and analytical skills required along with a high level of attention to detail are required.
Effective at working and communicating with both faculty and Information Technology staff is required.
Experience using multiple operating systems (Windows, Linux, macOS) is preferred.
Experience and familiarity with how to optimize code to run in parallel environments, including those that leverage GPUs is preferred.
Expert level knowledge of the extraction, transformation, loading and manipulation of large data and databases (e.g. multi-terabyte files) is preferred.
Knowledge of, or familiarity with, scripting languages such as Bash, Perl, Python and PowerShell or other comparable programming skills is preferred.
Familiarity with SQL and/or other methods of accessing data in relational databases, such as Microsoft SQL Server, MySQL or PostgreSQL is preferred.
Ability to use Microsoft Excel, SQL and Tableau programming skills for data mining and to supplement and enhance data analysis and visualization is preferred.
Demonstrated working knowledge of big data technologies (Spark, Hadoop) including HDFS, JobTracker, MapReduce, Hive, Pig, Yarn and Mahout preferred.
Experience working as a research professional or data analyst in the finance, economics or marketing industries is preferred.
Experience transforming and connecting isolated data files and databases into shared data assets that can easily be accessed and used by many researchers is preferred.
Motivation to independently explore new computational tools and techniques to improve research is preferred.
Interested candidates should apply directly to the University of Chicago job board. Only applicants that apply directly to the job board will be considered for the position. If the link does not send you to the job posting please copy and paste into your web browser. Thank you for your interest in The University of Chicago, Booth School of Business!
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Internal Number: JR06392
About University of Chicago, Booth School of Business
The University of Chicago Booth School of Business is the second-oldest school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges.
Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in currently in Singapore. The Singapore campus will move to Hong Kong in 2014) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment.
Chicago Booth is proud to claim:
• An unmatched faculty.
• Degree and open enrollment programs offered on three continents.
• A global body of nearly 43,000 accomplished alumni.
• Strong and growing corporate relationships that provide a wealth of lifelong career opportunities.
As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that sha...pe the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Six of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment.