Data Science Analyst
Chicago Lying-In Hospital
University of Chicago
Department
About the Department
Job Summary
Responsibilities
Define features of audio recording to develop novel models.
Create cutting-edge machine learning algorithms on audio datasets.
Develop scripts and code for analyses.
Analyze moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Build and analyze statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference.
Supervise contributions of specialized Student Research Assistants to prepare datasets to train algorithms.
Assist Chief Technology Officer on a weak supervision pipeline.
Collaborate with team and external vendors (hardware, firmware, electrical engineers) and weigh in on requirements to run the algorithms.
Keep abreast of broader tech and data systems landscape and best practices; secure and maintain needed certifications to ensure proper creation and maintenance of TMW Center data systems.
Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA and current best practices.
Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources.
Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
---
Certifications:
---
Preferred Qualifications
Education:
Advanced degree in Computer Science, Statistics, Mathematics, or Economics with a focus on computer science.
Experience:
Experience with Arduino or hardware integration.
Experience developing and implementing machine learning solutions for real world use.
Experience with cloud resources such as Amazon Web Services (including AWS Redshift, Amazon RDS, and Amazon Aurora).
Experience using Linux.
Preferred Competencies
Proficiency in Python, Numpy, Pandas and scikit-learn.
Familiarity handling terabyte size datasets.
Ability to write production-level code.
Ability to handle multiple tasks and assignments simultaneously.
Problem-solving skills, including a strong ability to prioritize and collaborate.
Excellent verbal and written communication skills.
Proven ability to establish and stick to timelines.
Excellent organizational skills, including strong attention to detail.
Knowledge of university and research-related regulatory policies and procedures, including IRB procedures.
Ability to train others.
Initiative and independent judgment.
Application Documents
Resume/CV (required)
Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Economics ETL Linux Machine Learning Mathematics NumPy Pandas Pipelines Python Redshift Research Scikit-learn Security Statistics
Perks/benefits: Career development Health care Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs