Principal Machine Learning Researcher

Job Profile:

Business and Data Analyst 5

Job Family:

Business and Data Analytics

Time Type:

Full time

Max Pay – Depends on experience:

$120,000.00 USD Annual

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

Minimum Qualifications:

Bachelor's degree and ten (10) 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.

Job Description:

Are you passionate about all things Machine Learning? Do you have professional experience in information analysis and communicating research findings to deliver functional data products? If so, continue reading below for this Principal Machine Learning Researcher opportunity!

EdPlus at ASU is a dynamic unit of Arizona State University focused on the design and scalable delivery of digital teaching and learning models to increase student success and reduce barriers to achievement in higher education. We advance the economic, social, cultural, and overall health of the local, national, and international communities served by ASU.

Want to know more about working at EdPlus?

We’re seeking a highly motivated, people-oriented Principal Machine Learning Researcher to lead impactful machine learning projects as part of the Action Lab. Action Lab combines the power of data and research to evaluate and inform business decisions, creating innovative solutions. Every day you’ll make a difference in the lives of others by initiating, overseeing, and operationalizing machine learning projects; establishing research design methodologies; employing statistical modeling techniques; and analyzing complex datasets to deliver functional data products. You will be responsible for maintaining rigorous methodological standards and leading the design, direction, and implementation of machine learning projects. In addition, you will effectively communicate findings to stakeholders in EdPlus and continuously iterate based on feedback to improve the effectiveness of produced data products.

Action Lab is a data-driven, research-focused service organization—an impact hub—that supports ASU and EdPlus initiatives by equipping leaders with the insights and analyses they need to make informed, evidence-based decisions to improve student learning, motivation, and persistence. Action Lab drives transformational change in education through data and research, focusing on learner behaviors and the factors that drive success.

Essential Duties :

• Selects, develops, and determines appropriate machine learning methodologies, data analyses, and statistical procedures for various projects, with an emphasis on predictive modeling.
• Determines the most effective approach to meet specific research questions and objectives.
• Serves as the primary researcher and leader for machine learning projects, effectively communicating with internal/external teams and executive staff to ensure project alignment.
• Identifies appropriate data sources to meet stakeholder needs; transforms and prepares new datasets to build foundational models for data science and machine learning.
• Analyzes and interprets quantitative and qualitative data using advanced statistical and machine-learning techniques.
• Writes technical reports, presentations, and research articles for publication, showcasing innovative findings and methodologies.
• Prepares and presents research findings to various audiences, including technical and non-technical stakeholders, on machine learning models and outcomes.
• Troubleshoots, diagnoses, analyzes, and resolves technical issues to ensure ongoing data integrity.
• Works internally with teams on related projects that are being leveraged across units within EdPlus.
• Assumes or coordinates other duties or projects as assigned or directed.

NOTE : This is not a fully remote position. Must be able to reliably commute to Scottsdale AZ.

Desired Qualifications:

• PhD in Business Analytics, Statistics, Learning Analytics, Mathematics, Computer Science, or a related field and two years of professional experience in information analysis or a relevant field.
• Evidence of managing multiple direct reports while overseeing large research projects.
• Evidence of the ability to proficiently manipulate, report, and analyze enterprise data to develop scalable data products and research assets.
• Experience working in a higher education setting, preferably with higher education student data.
• Demonstrated knowledge of big data processing languages such as Python, R, SQL, and Scala.
• Demonstrated knowledge of deep learning platforms such as Keras, TensorFlow, and/or PyTorch.
• Demonstrated knowledge of statistical modeling, machine learning, data, and text-mining concepts.
• Demonstrated ability to leverage Python, SQL within cloud frameworks for advanced analytics and data processing.
• Demonstrated ability to clearly articulate machine learning pipeline architectures, modeling approaches, and decisions to both technical and non-technical audiences.
• Experience with Jira or related project management tools.
• Demonstrated skill in thinking critically and developing creative solutions to challenging problems.
• Evidence of effective written and verbal communication skills with stakeholders at all levels of the organization, including clearly explaining complex technical processes.
• Demonstrated ability to work both independently and in collaboration with a variety of individuals.
• Demonstrated ability to lead by example in communication, participation, and encouragement.

NOTE : Please answer the following questions in your cover letter:

• Do you have evidence of implementing machine learning models?
• Do you have evidence of managing multiple direct reports?

Salary & Benefits:

$100,000 - $120,000 per year; DOE

ASU offers a total compensation package that includes valuable employee benefits.

• Healthcare
• Financial Security
• Retirement
• Family Resources
• Tuition Reduction (Eligible ASU Employee, their dependents and spouse.)
• Discounts

Working Environment:

Your desk will be in the beautiful, cutting-edge, and collaborative workspace at SkySong, the ASU Scottsdale Innovation Center. The Center houses a diverse business community that links technology, research, education, and entrepreneurship to position ASU and Greater Phoenix as global leaders in the knowledge economy.

EdPlus at ASU supports flexible work options, ranging from alternate work schedules to hybrid remote work schedules, subject to approvals per ASU policy. (This is NOT a fully remote position.)

Applicant must be eligible to work in the United States. EdPlus at ASU will not be a sponsor for this position.

Department Statement:

EdPlus defines itself through a culture of curiosity, risk-taking and refusing to accept the status quo. As a central enterprise unit for ASU focused on the design and scalable delivery of digital teaching and learning models to increase student success and reduce barriers to achievement in higher education, our commitments support the University charter. ASU is a national service university and aspires to accelerate positive social outcomes through the seamless integration of cutting-edge technological innovation and scalability.

EdPlus employees are valued, respected, and encouraged to be their unique selves. We know that our ability to deliver high-quality services and educational experiences is strengthened by our culture. Our innovative approach drives outcomes through serving learners, achieving milestones, striving for excellence, solving problems, embracing urgency, and being bold.

EdPlus at ASU

Driving Requirement:

Driving is not required for this position.

Location:

Off-Campus: Scottsdale

Funding:

No Federal Funding

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$15488.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.

Need help finding the right job?

We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.

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.