- Bachelor's degree plus four years of experience in data analytics, software systems development or a related field.
- Proficiency with common programming languages such as C, C++ and Python.
- Knowledge of common methods in unsupervised and supervised machine learning.
- Knowledge of common tools and libraries Data Science libraries.
- Ability to build end-to-end systems integrating data, analytics, and user interfaces.
- Ability to multi-task and work cooperatively with others.
- Excellent writing and interpersonal communication skills.
- Master's degree in a field related to Data Science or equivalent experience and 4 years relevant professional experience using computational Data Science to solve problems in one or more domains.
- Research Systems Development - Develops data analytics and software systems for research and service projects. Works with TAMIDS and partners to define end-to-end system design encompassing data, analytics, software tools, and user interfaces. Identifies needs and incorporates advanced Data Science / ML / AI functionality into solutions. Maintains documented repositories of reusable code following best practices.
- Research Consulting and Operations- Provides consulting in TAMIDS programs that help users incorporate computational and analytic aspects of Data Science into research and education. Designs and develops software and tools that implement TAMIDS programs in research, education, training and outreach
- Mentorship and Training- Mentors students participating in TAMIDS programs, research, and courses that are associated with the Research Specialist's research and development projects Disseminates expertise in workshops or tutorials based on their projects or associated software tools.
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Research Specialist I - College Station, United States - Texas A&M University
Description
Job TitleResearch Specialist I
Agency
Texas A&M University
Department
Texas A&M Institute of Data Science
Proposed Minimum Salary
Commensurate
Job Location
College Station, Texas
Job Type
Staff
Job Description
Who We Are
The Texas A&M Institute of Data Science (TAMIDS) pursues new approaches to data science research, education, operations, and partnerships.
These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges.
In partnership with over 200 research affiliates from across The Texas A&M University System, work being done by TAMIDS is shaping the future of Data Science research.
To learn more, visitWhat We Want
TAMIDS is seeking a Research Specialist I who will develop data analytics functionality and software systems that support research collaborations and operation of TAMIDS programs.
The holder of this position will also join TAMIDS service role in providing consultation to Texas A&M faculty, researchers, and students to assist them in integrating Data Science tools and methods into their research and educational programs.
We seek to hire a candidate who will support our commitment to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & identities per our Core Values.
The preferred candidate will have a master's degree in a field related to Data Science or equivalent experience and 4 years relevant professional experience using computational Data Science to solve problems in one or more domains.
We are looking to hire a candidate who is a team player and who will promote collaboration and cooperation while working within a team.
If the description sounds interesting to you, we invite you to apply to be considered for this opportunity to join our team.
What You Need To KnowSpecial Note:
A cover letter and resume are strongly recommended, and contact information for three professional references. You may upload them on the application under the CV/Resume section.
Salary:
Compensation will be commensurate to selected hire's experience.
Required Education and Experience:
Required Knowledge, Skills, and Abilities:
Preferred Qualifications:
Instructions to Applicants:
Applications received by Texas A&M University must either have all job application data entered or a resume attached.
Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application.
We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.All positions are security-sensitive.
Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer.
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