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# Associate Data Scientist

- **Company:** University of Southern California
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Salary:** $99,823.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Airflow, Data Analysis, Big Data, Computer Programming, Databases, D3.Js, Data Architecture, Data Cleansing, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Visualization, Query Languages, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Power BI, SQL Databases, Tableau (Software), Data Processing, Snowflake, Git, Information Technology, Data Analytics, Non-relational Database, Software Version Control, Data Pipelines, Amazon Redshift, Programming Languages
- **Published:** July 31, 2026
- **Apply:** https://www.juju.com/job/00000000gkq0kw

## About the Role

> 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________________________________________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.________________________________________Salary and Benefits:The annual base salary range for this, 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.

## Description

> 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


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