Data Science Engineer
Build, operate, administer, and maintain a state of the art analytics lab supporting educational and research activities, related to data analytics with advanced software and hardware for management, analysis, and visualization of data at scale. This position will work closely with teaching and research faculty using the lab to ensure that the lab provides reliable, secure service, and retains the ability to import new tools and capabilities as required. The position will also involve direct interface with a wide variety of faculty, students, and representing the lab to visitors, and outside partners.
Administer and secure datasets that industry partners provide for collaborative research projects. Install and maintain the operating systems; Mac, Windows, UNIX and Linux (POSIX-compliant) based. Install and configure network and keep all the systems up to date. Ensure proper installation and operation of all required software tools and hardware systems. Provide support to students and faculty on OS issues, and various technology related questions. Maintain secure connections to internal and external networks. Meet with potential collaborators to clarify goals, identify collaboration opportunities and recommend solutions. Advance long-term collaborations with established partners through joint research engagements. Develop web materials communicating significant results, best practices and case studies with specific technologies. Help advance the reputation outside of the Lab for excellence in data science and reproducible research methods and practice, contributing to the Institute's and the Lab's overall portfolio of successful projects. Ensure proper and secure operations of the lab. Teach lab courses related to computational and data science topics.
An MS in Computer Science or Computer Engineering, or equivalent, as well as background in statistics, and experience in:
- Software systems: Linux/Unix, Windows, and MacOS;
- Database management systems;
- Programming Languages: Python, R, SAS, Java, SQL, Shell script, along with proven ability to learn additional languages;
- Databases SQL and noSQL;
- installation and operation of new software tools
- Apache Ecosystems: Hadoop, Hive et cetera;
- Cloud services: Amazon Web Services, Google Cloud Services and similar;
- Miscellaneous tools: end-to-end version control, virtualization, containerization, deployment, and integration;
- computer, and computer related, hardware installation and maintenance is also required;
- Understanding of the details of securing computer systems and data;
- Excellent oral and written communications skills, including some classroom teaching experience.
Financial Systems Lab
General Submission Guidelines:
In order to be considered a candidate for any job at Stevens, you must submit an online application. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.
Still Have Questions?
If you have any questions regarding your application, please contact Jobs@Stevens.edu
Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.
Stevens is building a diverse faculty, staff and student body and strongly encourages applications from female and minority candidates as well as veterans and individuals with disabilities. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.