Data Scientist, Applied AI - Remote
Azumo
Full-time
Remote
Job description
Information Technology Solutions (ITS) are looking for a curious, self-motivated Junior Data Scientist to help us leverage data to improve the experience of our students, faculty, and staff. In this role, the incumbent won't just be running scripts; but will be a key player in the full lifecycle of machine learning—from initial data discovery to deploying and maintaining models using Google Vertex AI. In addition to machine learning models, the position will also be building agentic AI with Google ADK and deploying agents through Gemini Enterprise. Because UCR's IT environment is dynamic, the incumbent should be comfortable taking ambiguous problems and refining them into actionable technical solutions. ITS values innovation and is looking for someone who constantly asks, "How can we do this better?" This is a career position with an end date as Information Technology Solutions (ITS) can commit to two (2) years of funding. Should additional funding become available in the future, the end date may be extended. Furthermore, this position is classified as predominantly remote with occasional visits to campus as needed. Working hours will be based on Pacific Standard Time (PST). The full salary range for the Junior Data Scientist is $30.13 - $52.73 per hour. However, the pay scale for this position is up to $38.31 per hour. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs. Applicants must have current work authorization when accepting a UCR staff position. Currently, UCR is unable to sponsor or take over sponsorship of an employment Visa for staff. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Strong organizational skills. Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Knowledge of relevant rules and regulations. Self-motivated and works independently and as part of a team. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Demonstrated ability to work with others from diverse backgrounds. Demonstrated problem-solving skills. Able to learn effectively and meet deadlines. Understanding of data management operations and database administration, including data modeling, data definition, data conversion and management of content or unstructured information. Demonstrated effective communication and interpersonal skills. Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. Demonstrated service orientation skills. Strong Python skills.
- degreeBachelor's degree in related area and/or equivalent experience/training.Required
- experience0 - 1 years of related experience.Required
- Must pass a background check.requiredRequired
Strong organizational skills. Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Knowledge of relevant rules and regulations. Self-motivated and works independently and as part of a team. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Demonstrated ability to work with others from diverse backgrounds. Demonstrated problem-solving skills. Able to learn effectively and meet deadlines. Understanding of data management operations and database administration, including data modeling, data definition, data conversion and management of content or unstructured information. Demonstrated effective communication and interpersonal skills. Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. Demonstrated service orientation skills. Strong Python skills.
- Understanding of data management operations and database administration, including data modeling, data definition, data conversion and management of content or unstructured information.Required