Data Scientist Principal

Arizona State University

Data Scientist Principal

Off-Campus: Mesa/Tempe

JR103229

End Date: April 3, 2025

Department Statement:

Each year since 2016, ASU has been named the most innovative school in the nation, recognizing the university's culture of groundbreaking research and partnerships, as well as its commitment to helping students thrive in college and beyond. U.S. News and World Report has named ASU as the most innovative university all nine years the category has existed.

ASU Knowledge Enterprise advances research, innovation, strategic partnerships, entrepreneurship, and international development. Our success arises from solutions-focused, interdisciplinary research; an entrepreneurial approach that is embedded in every school and department; and a commitment to transform society in a positive way. To learn more about how Knowledge Enterprise is a place for your career to grow, visit https://research.asu.edu/about-us/careers.

Working at ASU has additional perks and OUTSTANDING benefits, which include health, dental, and vision insurance plans; life insurance and disability programs; sick leave and holidays; ASU/UA/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to ASU recreation and cultural activities; and more. To estimate the value of your total compensation, please visit https://cfo.asu.edu/compensation-estimator.

Apply before 11:59 PM Arizona time the day before the posted End Date.

Job Description:

Salary Range: $75,300 - $90,000 per year; DOE

The Health Observatory at ASU is a critical component of the ASU Health learning ecosystem that is designed to collect, analyze and visualize a diverse array of information about the health of populations to inform decision makers, advance new health discoveries, and produce data of social and economic value. Under the leadership of the Director of Analytics and Coordination, the Data Scientist Principal for the Health Observatory at ASU will have a unique opportunity to lead technical data science projects and support the mission, vision, and organizational goals of the Health Observatory.

Serves as the principal data scientist in support of the Health Observatory’s initiatives by providing a leadership role in strategizing, designing, developing, and implementing enterprise-level applied research and statistical models with an emphasis on simulation, AI, and machine learning. This includes serving as the team's principal data science engineer for developing, deploying, and maintaining end-to-end automated production pipelines.

Essential Duties

• Leads data science efforts in collaboration with Health Observatory leadership in the development and implementation of the team's analytics strategies and initiatives.
• Selects and deploys advanced statistics and data science techniques to obtain actionable insights.
• Develops and maintains the complete end-to-end ML/AI cycle, from local development including statistical analysis, feature engineering/selection, ML model selection and training, hyperparameter optimization etc. up to deploying the model for production employing the best data science practices.
• Creates and maintains the data science infrastructure and pipeline using software and database tools (GitHub, SQL, Python, etc.) and workflow orchestration tools
• Responsible for the continuous improvement of data science processes and technologies as well as evaluating new or evolving technologies and approaches for potential adoption and implementation.
• Implements the best machine learning operationalization (MLOps) practices (e.g., data versioning, model versioning, experimentation, model deployment, model monitoring, scalability, orchestration, continuous learning).
• Provides strategic and thought leadership. Mentors other staff members in the areas of data science and MLOps, as needed.
• Promotes, embodies and represents the mission of the Health Observatory across ASU and with external stakeholders.
• Ability to work closely with subject matter experts in public health and healthcare data science team, increasing domain knowledge in these fields

Desired Qualifications

• Doctoral degree in a relevant field
• Experience developing, deploying, and maintaining machine learning models using cloud services (either Google Cloud Platform, AWS, or Azure)
• Proficiency in Python programming,
• SQL Experience developing machine learning/statistical models in the domain of health or healthcare.
• Experience in working independently and collaboratively in a fast-paced environment.
• Experience supporting collaborative and mission driven organizations.

Working Environment

• Activities are performed in an environmentally controlled office setting subject to extended periods of sitting, keyboarding and manipulating a computer mouse; required to stand for varying lengths of time and walk moderate distances to perform work.
• Occasional bending, reaching, lifting, pushing, and pulling up to 20 pounds.
• Regular activities require the ability to quickly change priorities, which may include and/or are subject to resolution of conflicts.
• Ability to clearly communicate and exchange accurate information to perform essential duties.

Minimum Qualifications:

Bachelor's degree and seven (7) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Instructions to Apply

Current Employees and Students should apply directly within Workday using the Jobs Hub. Use this link and log in using SSO:

https://www.myworkday.com/asu/d/inst/1$9925/9925$4830.htmld

To be considered, your application must include all of the following attachments:

• Cover letter
• Resume/CV

Note: Multiple documents can be submitted into the attachment box. Alternatively, merge all documents into one PDF for submission.

Please include all employment information in month/year format (e.g., 6/88 to 8/94), job title, job duties and name of employer for each position. Resume should clearly illustrate how prior knowledge and experience meets the Minimum and Desired qualifications of this position. NOTE: GA and Intern positions are counted as .5 for job experience (ie. 1 year equals 6 months experience equivalency). Only electronic applications are accepted for this position.

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ASU Statement

Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 100,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions inclusive excellence, and welcomes students from all fifty states and more than one hundred nations across the globe.

ASU is a tobacco-free university. For details visit https://wellness.asu.edu/explore-wellness/body/alcohol-and-drugs/tobacco

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other basis protected by law.

Notice of Availability of the ASU Annual Security and Fire Safety Report

In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASU’s Annual Security and Fire Safety Report is available online at https://www.asu.edu/police/PDFs/ASU-Clery-Report.pdf. You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.

Relocation Assistance – For information about schools, housing child resources, neighborhoods, hospitals, community events, and taxes, visit https://cfo.asu.edu/az-resources.

Employment Verification Statement

ASU conducts pre-employment screening which may include verification of work history, academic credentials, licenses, and certifications.

Background Check Statement

ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.

Fingerprint Check Statement

This position is considered safety/security sensitive and will include a fingerprint check. Employment is contingent upon successful passing of the fingerprint check.

About Arizona State University

Recognized by U.S. News & World Report as the country’s most innovative school, Arizona State University is where students and faculty work with NASA to develop, advance and lead innovations in space exploration.

To view full description or to apply please click this link:

https://asu.wd1.myworkdayjobs.com/en-US/ASUStaffCareers/details/Data-Scientist-Principal_JR103229?q=JR103229