Data Science Intern | Fully Remote US
Department:
Job Summary
As a Data Science Intern you will support ongoing research initiatives that keep our enterprise products and our clients hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring.
Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology you will have the opportunity to build validate and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities.
Essential Duties and Responsibilities
Applied Research & Modeling
Support ongoing research initiatives that keep us on the cutting edge including in agentic workflow development
Work with machine learning models to build products and conduct research
Write code to develop prototypes and utilities to extend or improve our product suite
Data Preparation & Quality
Drive the preparation of data used to train deep learning models and score unstructured data
Assure quality of our software in terms of content scoring and functionality
Performance modeling and data analysis
Qualifications :
Required
Bachelors degree required with a Masters degree or PhD in progress in a quantitative/programming field (Computer Science Statistics Mathematics Engineering Psychology Economics Data Science or related)
Understanding of statistics machine learning and deep learning fundamentals
Proficiency in Python including common ML libraries (e.g. numpy pandas scikit-learn)
Experience with version control (e.g. Git)
Ability to analyze large datasets and draw meaningful actionable insights
Strong problem-solving skills able to synthesize information from multiple sources to solve problems
Team player with strong collaboration and communication skills; comfortable working closely with data scientists engineers and I/O Psychologists
Self-motivated and able to work effectively with limited supervision; strong prioritization skills
Preferred
Awareness of state of the art methods in machine learning deep learning NLP and/or generative AI
Exposure to large language models (LLMs) and generative AI (e.g. prompt engineering fine-tuning agentic design patterns agentic evaluation methods)
Familiarity with SQL and database querying
Familiarity with cloud platforms (AWS preferred) for ML workflows
Additional Information :
All team members at Hirevue are expected to embody our core values which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers Enjoy the Journey Always do the Right Thing Reach Forwards and Take Action and Go.
Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy HireVue uses Google User Enrollment which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device ensuring privacy for personal data.
Hirevue is committed to equal treatment and opportunity in all aspects of recruitment selection and employment. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion and an environment free from discrimination harassment and retaliation. All your information will be kept confidential according to EEO guidelines.
Hirevue is NOT currently hiring in:
AK HI IA ME MS NM or WV.
#remote-us
Remote Work :
Yes
Employment Type :
Part-time
About Company
Human Potential Intelligence is the future of hiring enabling organizations to elevate the hiring conversation from evaluating candidates credentials to understanding what they are capable of. HireVues deep expertise in science, AI and data, helps companies understand candidates ... View more