Summary Description: The Data Science Institute of Columbia University invites applications to our Applied Data Scientist position(s) as candidates for Staff Associate (SA), and/or Senior Staff Associates (SSA); multiple positions may be available). For doctoral level candidates, please see our posting for Associate Research Scientist (ARS). 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 SA/SSA 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 SA/SSA 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 Qualifications: For a Staff Associate (SA) Applied Data Scientist position the candidate is required to have a Bachelor's degree and 4 years of related experience or a Master's degree and 2 years of experience. For a Sr. Staff Associate (SSA) Applied Data Scientist position, the candidate must have a Bachelor's degree and 8 years of related experience or a Master's degree and 4 years of experience.Required Skills: ?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; ?[SSA Position] Record of successful record of research collaborations outside one's own field, as evidenced by publications, and/or grants, and/or collaborative software outputs;
Preferred Qualifications: ?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;
As a member of the National Collegiate Athletic Association (NCAA) and the Council of Ivy Group Presidents (Ivy League), it is imperative that members of the Columbia University community, in all matters related to the intercollegiate athletics program, exhibit the highest professional standards and ethical behavior with regard to adherence to NCAA, Conference, University, and Department of Intercollegiate Athletics and Physical Education rules and regulations.
Columbia University is an Equal Opportunity/Affirmative Action employer.
Internal Number: 334_65365
About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.