Data Scientist and Associate Project Manager

Job Description

UCLA is seeking a highly motivated and skilled Data Scientist and Associate Project Manager to join our team. In this role, you will have the opportunity to use your analytical and project management skills to make a meaningful impact on the university's data-driven initiatives. We are looking for candidates who are passionate about data and possess strong problem-solving abilities. If you are a driven individual with a desire to contribute to the advancement of higher education, we encourage you to apply for this exciting opportunity.

Your Responsibilities

• Perform data analysis and provide insights to support the university's data-driven initiatives.
• Develop and implement data models, algorithms, and statistical analysis methods.
• Collaborate with cross-functional teams to identify and define project requirements.
• Manage and prioritize multiple projects to ensure timely delivery and successful outcomes.
• Communicate project progress and results to stakeholders, including senior management.
• Identify and troubleshoot data quality issues, ensuring accuracy and reliability of data.
• Conduct research and stay up-to-date on industry trends and best practices in data science.
• Develop and maintain documentation for data analysis processes and methodologies.
• Train and mentor junior team members in data analysis and project management.
• Continuously identify opportunities for process improvement and efficiency within the team.
• Adhere to all data privacy and security protocols and regulations.
• Collaborate with external partners and vendors as needed.
• Represent the university and the data science team in meetings and conferences.
• Proactively identify potential risks and provide solutions to mitigate them.
• Uphold the mission and values of the university in all tasks and interactions.

Equal Opportunity Employer

UCLA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.