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Job ID: 98657

Applied Data Scientists | Open Rank
Columbia University in the City of New York

  • Oct. 16, 2017
 
 
  • Open until filled
  • Nov. 20, 2017
  •  
 
  • Post-Doc
    Research Scientist/Associate
  • Water Resources Engineering
    Transportation Engineering
    Sustainable Engineering
    Risk Management & Financial Engineering
    Optics & Optical Engineering
    Industrial & Systems Engineering
    Human Factors Engineering/Ergonomics
    Engineering Physics
    Engineering Mechanics
    Electrical and/or Electronics
    Computer Engineering
    Computer Science
    Construction Engineering/Management
    Civil Engineering
    Bioengineering (all Bio-related fields)
    Engineering - Other
 
 
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COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK


 



   
 

The Data Science Institute of Columbia University invites applications to our Applied Data Scientist position(s) as candidates for Staff Associate, Senior Staff Associate, and/or Research Scientist (Open Ranks).

The Data Science Institute of Columbia University’s mission involves advancing the state of the art in data science; transforming all fields, professions, and sectors through the application of data science; and ensuring the responsible use of data for the benefit of society.

Every field has data. We use data to discover new knowledge, to interpret the world, to make decisions, and even to predict the future. The recent convergence of big data, cloud computing, and novel machine learning algorithms and statistical methods is causing an explosive interest in data science and its applicability to all fields. The design of data science solutions requires both excellence in the fundamentals of the field and expertise to develop applications that meet human challenges without creating even greater risk.

At Columbia, data science already touches every corner of the university. The Data Science Institute at Columbia University, started in 2012, is a university-level institute representing over 250 faculty from 12 different schools across campus, along with a robust industrial affiliates program and strong ties with New York City’s economic development, including the dynamic and fast-growing start-up community.
The Institute’s Applied Data Scientist(s) will help to anchor Columbia’s presence as a leader in Data Science research and application, by serving will serve as Columbia’s resident experts to foster collaborations with the world-class faculty across all the schools at Columbia University (e.g., Arts and Sciences, Business, Dentistry, Engineering, Law, Journalism, Medicine, Nursing, Public Health, Social Work), to guide, plan, and execute data science research, application, and technological innovation to address societal challenges and other related University-wide initiatives (i.e., Data Science Institute Quests, Columbia World Projects, etc.). They will also be encouraged to pursue their own research interests in data science.

The Applied Data Scientist(s) responsibilities may include, but are not limited to:

  • Contribute to research projects involving one or more elements of data science such as large-scale data management, machine learning and statistics, interactive visualization and specialized data presentation interfaces.
  • Identify opportunities for long-term research collaboration between the Data Science Institute and the various schools at the University. Fostering such inter-disciplinary collaborations is a key mission of the Institute.
  • Organize and conduct training for faculty, staff, and students in data science techniques and technologies.
  • Develop and release open source software.
  • Develop web materials communicating significant results, best practices and case studies with specific technologies, and documentation for significant software.
  • Advocating best practices for scientific reproducibility of all results, and contribute to a "culture of reproducibility" across campus.
  • Advance the reputation of Columbia’s Data Science Institute as a center of excellence in data science methods and practice.

Minimum Position Requirements depend upon level applying for:

  • Staff Associate (SA): Bachelor’s degree required; plus 4 years related experience; or a graduate degree plus 2 years related experience preferred.
  • Senior Staff Associate (SSA): Bachelor’s degree required; plus 8 years related experience; or a graduate degree plus 6 years related experience preferred.
  • Associate Research Scientists (ARS): PhD degree in Computer Science or related discipline required; demonstrated innovation and excellence in research. Candidates are evaluated on research ability and required expertise. At least 2 years of postdoctoral experience are required, as well as a strong publication record.
  • Research Scientist or Sr. Research Scientist must have a strong record of attracting grant support and supervising graduate research students; PhD degree in related discipline and 6-10 years of experience.

Additional Required Skills as part of this position:

  • Extensive programming experience in R and/or Python for data analysis;
  • Demonstrated experience in software engineering and/or advanced statistical methods;
  • Demonstrated experience communicating results through writing, visualization and presentations, both in and out of one’s own discipline;
  • Strong interpersonal, organizational and communication skills, and willingness to work with multiple researchers and PhD students;
  • Record of successful record of research collaborations outside one’s own field, as evidenced by publications, and/or grants, and/or collaborative software outputs;
  • Additional Preferred Skills:
  • Experience managing large and complex projects involving a wide variety of constituents and stakeholders;
  • Experience participating in open source software development and significant contributions to open source projects are also highly valued in this role;
  • Programming experience in programming languages like C, C++, Java, Scala, Julia, Matlab;
  • Experience with statistical software such as SPSS, Stata or SAS;
  • Good at switching between tasks and assisting project members;
  • Skilled at interacting with internal and external partners;
  • Informed and devoted user of industry best practices;Ability to work under pressure of deadlines and be able to deliver required results on time;
  • Strong analytical and quantitative ability’

NOTE:
Candidates for professional Officer of Research positions are expected to have established their ability to conduct original, independent scientific research. To hold the senior rank, candidates’ qualifications and contributions to their fields of research must be equivalent to those of a full professor; for the rank of research scientist, the equivalency is with the qualifications and contributions of an associate professor; and for the rank of associate research scientist, assistant professor. All candidates for all Officer of Research positions are expected to be able to work well in a team and to communicate effectively the results of their research or research activities both orally and in writing.

Strong analytical and quantitative ability. Strong interpersonal, organizational and communication skills Demonstrated innovation and excellence in research, publications in top journals and conferences and a strong record of attracting grant support.

Postdoctoral Research positions are also available (please see Institute homepage for details).

Columbia University is an Equal Opportunity/Affirmative Action employer.


  • Columbia University is an Equal Opportunity/Affirmative Action employer.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 

Contact Information

 
  • Jonathan Stark
    Data Science Institute
    Columbia University in the City of New York
    550 West 120th Street
    NWC Building, Suite 1401
    New York, NY 10027
  •  
  • jrs2139@columbia.edu
 

 

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