Full-Time

Associate Data Scientist

Institutional Research

University of Southern California

University of Southern California

Research university in Los Angeles, CA

Compensation Overview

$99.8k - $116.7k/yr

Los Angeles, CA, USA

In Person

Bachelor's, Master's

Category
Data & Analytics (1)
Required Skills
Power BI
Redshift
Python
Airflow
D3.js
MySQL
NoSQL
Data Visualization
Data Science
R
Git
SQL
Machine Learning
RDBMS
ETL
Data Engineering
Version Control
Tableau
MongoDB
Oracle
Snowflake

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Requirements
  • A Bachelor's degree in Applied Mathematics, Computer Science, Statistics, or a related quantitative field, or equivalent experience.
  • At least 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 or non-relational databases, including MySQL, SQL Server, Snowflake, and 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 such as R, Python, and SQL to manipulate data and draw insights from large datasets.
  • Experience scripting and programming in several languages with common data science toolkits.
  • Proficient use of query languages such as SQL and MDX, and experience working with relational databases such as MySQL, SQL Server, Oracle, Snowflake, and Redshift, and non-relational databases such as MongoDB and NoSQL.
  • Proven problem-solving and decision-making skills, including the ability to uncover root causes and evaluate different solution options.
  • Experience in data science, analytics, information technology, cognitive engineering, or related fields.
  • Ability to write high-quality Python code.
Responsibilities
  • Analyze and interpret medium to large datasets to solve data analytics 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.
Desired Qualifications
  • A Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience building and maintaining extract, transform, load pipelines and data workflows.
  • Experience with workflow orchestration tools such as Apache Airflow, including directed acyclic graph development.
  • Experience with machine learning or statistical modeling techniques.
  • Experience with data visualization tools such as Tableau, Power BI, or 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 systems.
University of Southern California

University of Southern California

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The University of Southern California is a private research university with academic programs across the arts, sciences, business, engineering, law, health, and other professional fields.

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