The University of Southern Californiaâs (USCâs) Information Technology Services is seeking a talented Data Scientist with an exceptional commitment to service excellence to join the Application Services team. The Data Scientist will play a critical role in delivering value from USC's data by transforming it to usable and actionable information by looking for opportunities to improve efficiencies, improving the student experience, reducing costs, and leveraging data insights to support our cultural journey and values.
The Data Scientist will be tasked with supporting key activities including:
The Student Experience Portal: quantifying central KPIs and using multi-domain data (academic, student services, survey, etc.) to predict key metrics, develop corresponding data-driven interventions, and measure its effectiveness.
Equal Opportunity Hiring: triangulating demographic information with the recruiting and hiring process and providing targeted support with our Talent Acquisition partners thus promoting diversity, equity, and inclusion.
Financial Monthly Projections: creating models to help predict/suggest projections at the monthly level by translating data across systems and building models to predict projections at a monthly level based on previous actuals.
Predicting Award Funding: aggregating historical funding patterns across time to segment which award domains are more robust in the face of economic and societal fluctuations, and predict trends for what awards areas have the most likelihood of funding in the future.
The ITS vision aligns strategy, business, and services; affirms ITS cultural values; empowers cross-functional teamwork; embraces world-class best practices; and promotes innovation, excellence, agility, and efficiency. To achieve this vision, ITS is committed to providing a modern technology infrastructure that is resilient and delivers the performance necessary to meet the demands of a growing customer base, training in the latest technologies for its highly productive and motivated workforce, outstanding customer experience, and technology services that are aligned with the universityâs mission to provide exceptional learning opportunities for students. ITS is creating a workplace where employees can develop cutting-edge skills, take pride in the services they provide, and have access to the roles and career paths that align to their abilities and potential.
We are looking for top talent to join us on our journey.
USCâs ITS organization represents a diverse and talented team, committed to supporting a collaborative culture and delivering secure and innovative IT services, core to the mission of USC. ITS values accountability, excellence, and commitment to exceptional customer experience. ITS strives for a supportive and inclusive culture that encourages employees to do their best work every day and where individuals are recognized and celebrated for their contributions.
USC is the leading private research university in Los Angelesâa global center for arts, technology, and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Familyâthe faculty, staff, students, and alumni who make USC a great place to workâyou will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.
Come join the ITS team and work as a trusted partner in shaping an environment of innovation and excellence for the university.
The candidate for the position of Data Scientist must meet the following qualifications:
Bachelorâs degree in a relevant field such as business administration, computer science, computer information systems, etc., or equivalent combination of education, training, and experience.
Two years of experience in a relevant field such as data science, information technology, cognitive engineering, etc.
Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from large data sets
Experience working with and creating data models and data architecture, and using data visualization tools (e.g., Tableau, ArcGIS, D3.js)
Knowledge of current data modeling tools and various machine-learning techniques and algorithms (e.g., clustering, decision-tree learning, artificial neural networks)
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
Knowledge of applied, statistical concepts and techniques skills (e.g., distributions, statistical testing, regression)
Excellent written and oral communication skills
Ability to provide both detailed information and summaries to management-level individuals and groups
Experience developing customer relationships and delivering custome-focused service
Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different solution options.
The ideal candidate for the position of Data Scientist has the following qualifications:
Bachelorâs Degree in a relevant field, such as computer science, data science, statistics, computational science and engineering, etc.
Experience in data science, analytics, IT, cognitive engineering, or related field
Demonstrated interest in data science and artificial intelligence, and experience in open domain (e.g. GitHub)
Published writing on artificial intelligence and/or data science
Ability to write high-quality Python code
Familiarity with unit testing, source control and code review.
THE WORK YOU WILL DO
The Data Scientist leverages mass data from across the university to develop intelligent business insights and effect innovative change for customers and stakeholders. Utilizes analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. Responsible for identifying data-analytic problems, determining the correct data sets and variables, and discovering solutions.
The Data Scientist:
Identifies, mines, and analyzes medium and large data sets to drive university business and solve data-analytic problems. Builds, iterates, and validates predictive models, and develops robust statistical and machine-learning models. Implements processes to evaluate, automate, and improve model performance. Partners closely with stakeholders to identify high-impact data applications and help drive effective decision-making
Utilizes data science best practices to effectively solve problems, testing, deploying and iterating solutions. Builds, executes, and evaluates A/B tests. Develops processes for capturing data and maintaining data integrity through transformative data wrangling operations. Performs data manipulation, cleansing, and analysis, and improves data quality, providing feedback to ensure its adequacy, accuracy and legitimacy
Manages project progress, tracking activity, resolving issues, recommending actions, and providing stakeholders with regular updates on status and deliverables. Supports the vision for enterprise data and analytics, facilitating continuous improvements by maintaining currency with new data science technologies and leveraging the latest industry knowledge to continually develop team skills, knowledge, and abilities
Builds and maintains collaborative relationships with team members and ITS leaders. Actively embodies ITS values and behaviors (e.g., accountability, customer service). Contributes to a culture of trust and transparency by sharing information broadly, openly, and deliberately, guiding data science conversations throughout the department
Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time.
Come join the USC ITS team and work as a trusted partner in shaping an environment of innovation and excellence.
MINIMUM QUALIFICATIONS The candidate for the position of Data Scientist must meet the following qualifications:â¢ Bachelor's degree in a relevant field such as applied mathematics, data science, computer science, statistics, etc., or equivalent combination of education, training, and experience. â¢ Five years of experience in a relevant field such as data science, information technology, cognitive engineering, etc. â¢ Experience using statistical computer languages, such as R, Python, SQL, etc., to manipulate data and draw insights from large data sets. â¢ Knowledge of current data modelling tools.â¢ Knowledge of a variety of machine-learning techniques and algorithms, such as clustering, decision tree learning, artificial neural networks, etc. â¢ Experience with common data science toolkits. â¢ Experience working with and creating data models and data architecture. â¢ Experience using data visualization tools such as Tableau, ArcGis, and D3.â¢ Proficiency in using query languages such as SQL and MDX. â¢ Experience working with relational (e.g., MySQL, SQL Server, Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases.â¢ Knowledge of applied statistical concepts and skills such as distributions, statistical testing, regression, etc.â¢ Experience with scripting and programming in several languages. â¢ Excellent written and verbal communication skills.â¢ Ability to provide both detailed information and summaries to management-level individuals and groups.â¢ Experience developing customer relationships and delivering customer-focused service.â¢ Proven problem-solving and decision-making skills with the ability to uncover root causes and evaluate different solution options.
USC is the leading private research university in Los Angeles—a global center for arts, technology and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Family—the faculty, staff, students, and alumni who make USC a great place to work—you will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.