Associate Data Scientist
University of Southern California•Los Angeles, CA
•$99,823 - $116,656
About The Position
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.
Requirements
- 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
- 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.
Nice To Haves
- 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
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
Benefits
- Comprehensive benefits and perks to help protect their and their dependents’ health, wealth, and future.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
