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Data Science Co Op Remote Jobs in Utah (NOW HIRING)

Data Scientist

Eden, UT ยท On-site +1

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Lead Data Scientist

Draper, UT ยท On-site +1

$138K - $272K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

$18 - $50/hr

Remote Perks: * Potential for full-time offers after university graduation and completion of the ... Create and update datasets using NX to provide sales and marketing with meaningful CAD data

Data Engineer

Salt Lake City, UT ยท On-site +1

$90K - $120K/yr

Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query ... Bachelor's degree (or higher) in Computer Science, Information Technology, or related field ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

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Data Science Co Op Remote information

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

What types of projects can a Data Science Co-Op expect to work on in a remote setting?

As a remote Data Science Co-Op, you will typically contribute to projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. You may also assist in developing dashboards, automating data pipelines, or researching new data sources depending on the team's current priorities. Collaboration is often facilitated through virtual meetings, code reviews, and shared documentation platforms, allowing you to work closely with data scientists, engineers, and business analysts despite the remote environment.

What is a Data Science Co-Op Remote position?

A Data Science Co-Op Remote position is a temporary, paid internship where students or early-career professionals work remotely to gain hands-on experience in data science. Co-ops typically last several months and allow participants to work on real-world projects involving data analysis, machine learning, and data visualization. These roles help individuals build practical skills, expand their professional network, and often fulfill academic program requirements. Remote positions allow for flexible work arrangements, enabling participants to collaborate virtually with teams from anywhere.

What are the key skills and qualifications needed to thrive as a Data Science Co-Op (Remote), and why are they important?

To thrive as a Data Science Co-Op (Remote), you need a strong foundation in statistics, programming (Python or R), and data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like Jupyter Notebook, SQL, version control (Git), and cloud platforms, as well as exposure to machine learning frameworks, is highly valuable. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating effectively in a remote and often cross-functional environment. These skills and qualities enable you to contribute meaningful insights, adapt to remote workflows, and drive impactful data-driven solutions.
What are the most commonly searched types of Data Science Remote jobs in Utah? The most popular types of Data Science Remote jobs in Utah are:
What are popular job titles related to Data Science Co Op Remote jobs in Utah? For Data Science Co Op Remote jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Science Co Op Remote jobs? Cities in Utah with the most Data Science Co Op Remote job openings:
Data Science Intern | Fully Remote US

Data Science Intern | Fully Remote US

HireVue Inc

Sandy, UT โ€ข Remote

Part-time

Posted 8 days ago


Job description

Company Description

Hirevue is where hiring happens - transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue's end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI,ย Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

Job Description

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

  • Bachelor's degree required, with a Master's 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.ย 

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