Power Data Scientist Jobs (NOW HIRING)

Associate Data Scientist (Institutional Research)

Please submit a resume and cover letter as part of your application.

> Shape Data-Driven Decision Making at USC
Join the University of Southern California's Office of Institutional Research and help power data-informed strategy at a leading research institution. In this role, you will design, build, and deploy analytics solutions that inform university leadership and institutional priorities.
Work with complex datasets, modern data tools, and cross-functional stakeholders in a collaborative, mission-driven environment.

> Key Responsibilities:
Analyze and interpret medium to large datasets to solve data analytic problems in support of institutional decision making
Build, test, and optimize statistical, predictive, and machine learning models
Develop and deploy data pipelines, workflows, and automated processes
Partner with stakeholders to translate business needs into analytical solutions
Perform data cleansing, validation, and transformation to ensure data integrity
Design and evaluate experiments, including A/B testing methodologies
Create reports, dashboards, and presentations to communicate insights clearly
Monitor project timelines, deliverables, and stakeholder communications
Maintain technical documentation and support continuous process improvement

> Preferred Qualifications:
Master's degree in Data Science, Computer Science, Statistics, or a related field
Experience building and maintaining ETL pipelines and data workflows
Experience with workflow orchestration tools such as Apache Airflow (DAG development)
Experience with machine learning or statistical modeling techniques
Experience with data visualization tools (e.g., Tableau, Power BI, D3.js)
Experience working with large-scale or enterprise datasets
Familiarity with Git, version control, and testing frameworks
Experience designing data architecture or automated data system

> Minimum Qualifications:
Bachelor's degree in Applied Mathematics, Computer Science, Statistics, or a related quantitative field (or equivalent experience)
Minimum 2 years of experience in data science, data analytics, or a related field
Proficiency in Python and SQL for data analysis and data manipulation
Experience working with relational and/or non-relational databases (e.g., MySQL, SQL Server, Snowflake, MongoDB)
Experience performing data cleaning, transformation, and validation
Demonstrated ability to analyze datasets and deliver actionable insights
Strong written and verbal communication skills
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In addition, the successful candidate must also demonstrate, through ideas, words and actions, a strong commitment to USC's Unifying Values of integrity, excellence, community, well-being, open communication, and accountability.
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Salary and Benefits:
The annual base salary range for this position is $99,823 - $$116,656. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

To support faculty and staff well-being, USC provides benefits-eligible employees with a broad range of benefits and perks to help protect their and their dependents' health, wealth, and future. These benefits are available as part of the overall compensation and total rewards package. You can learn more about USC's comprehensive benefits here.
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Apply Now
If you're excited to solve complex data challenges and contribute to meaningful institutional impact, we encourage you to apply today. Please submit your resume and cover letter to be considered.

#LI-MS1

Job Qualifications
Minimum Education:
-Bachelor's degree
-Combined experience/education as substitute for minimum education
Minimum Experience:
-2 years
Minimum Field of Expertise:
. Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from
large data sets.
. Experience scripting and programming in several languages with common data science toolkits.
. Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, SQL Server,
Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases.
. Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different
solution options.
. Experience in data science, analytics, IT, cognitive engineering, or related fields.
. Ability to write high-quality Python code.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

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If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$150910.htmld