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Senior Optum Data Science Jobs in Delaware (NOW HIRING)

Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields. * Proficiency in programming languages and data tools such as ...

Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields. * Proficiency in programming languages and data tools such as ...

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Senior Optum Data Science information

What is the difference between Senior Optum Data Science vs Data Analyst?

AspectSenior Optum Data ScienceData Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related field; some experience with data tools
Work EnvironmentHealthcare analytics, cross-functional teams, complex data modelingData reporting, visualization, basic analysis in various industries
Employer & Industry UsageOptum/UnitedHealth Group, healthcare industryVarious industries including healthcare, finance, retail

Senior Optum Data Scientists focus on advanced analytics, machine learning, and healthcare-specific data challenges within Optum. Data Analysts typically handle data reporting, visualization, and basic analysis across multiple industries. The roles differ mainly in complexity, required skills, and industry focus, with Senior Data Scientists engaging in more technical and strategic tasks.

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Manager, Data Science

Manager, Data Science

University of Delaware

Newark, DE • On-site

Other

Posted 7 days ago


University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

523rd of 555 rated colleges and universities


Job description

Manager, Data Science

Apply now Job no: 503286
College / VP Area: VP Finance & Deputy Treasurer
Work type: Staff
Location: Newark, DE
Categories: Institutional Research & Planning, Full Time

Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.

Under the direction of the Senior Director of Institutional Research and Data Science, the Manager supports the development and implementation of a campus-wide data science program directed at meeting the management and information needs of academic and administrative units across campus.  

Duties include:  

Supervision & Leadership: Supervise a team, oversee work plans and assign tasks to Analysts regarding the development of data tables and statistical models, and perform detailed code reviews of SQL and data workflows authored by data scientists;

Advanced Statistical Modeling & AI: Serve as the institution's expert for statistical modeling (including Bayesian, frequentist, data mining, artificial intelligence, and machine learning), and design, develop, and validate predictive statistical models, specifically for student enrollment management and institutional forecasting;

Data Architecture & Engineering: Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate with Data Engineering and ETL teams to modernize the enterprise data reporting platform; and

Strategic Planning & Analysis: Act as the lead person in developing analysis supporting University business practices, build novel data views to facilitate measurement of institutional progress, and meet with functional users (Deans, Directors, Officers) to determine business practices that drive standard production reports.

Additional duties include:

Data Integration & Quality: Oversee the integration of data from external national databases (IPEDS, Common Data Set) and internal systems (Student, Finance, HR), and ensure data accuracy and consistency with production systems;

Reporting & Dashboards: Contribute to Tableau dashboard development for internal and external reporting and provide accurate data sources to assist the Institutional Research team in developing standard reports; and

Ad Hoc Request Management: Respond to complex ad hoc requests for information from senior academic administrators and faculty; provide user assistance and maintain technical documentation.  

Requires a Bachelor's degree in Statistics, Data Science, Information Technology, or a related field and 5 years of experience with data governance in a higher education context. Experience must include working with Tableau, SQL, IPEDS/Common Data Set Standards, Amazon Redshift, and Oracle PeopleSoft. Limited telework permitted: must be on-site one day per week.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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