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Remote Data Science Social Good Jobs in Utah (NOW HIRING)

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 · On-site +1

$144K - $250K/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 ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

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Remote Data Science Social Good information

What is a Remote Data Science Social Good job?

A Remote Data Science Social Good job involves using data science techniques to address social challenges, such as public health, education, poverty, or environmental issues, while working remotely. Professionals in this field analyze data, build models, and develop insights that can help non-profits, NGOs, or governmental organizations make data-driven decisions for positive social impact. These roles often require strong analytical skills, a passion for social causes, and the ability to collaborate virtually with diverse teams.

How do remote data science professionals working in social good organizations typically collaborate with non-technical stakeholders?

Remote data science professionals in social good organizations often work closely with program managers, policy experts, and community partners who may not have technical backgrounds. Effective collaboration involves translating complex data findings into actionable insights, creating clear visualizations, and maintaining open communication channels through regular virtual meetings or shared documentation. Building strong relationships and understanding the mission-driven context are key to ensuring that data-driven solutions truly support the organization's goals and the communities they serve.

What are the key skills and qualifications needed to thrive as a Remote Data Science Social Good professional, and why are they important?

To thrive as a Remote Data Science Social Good professional, you need strong analytical skills, proficiency in statistics, and a solid background in data science or a related field—often supported by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Excellent communication, collaboration, and problem-solving skills help you translate data insights into actionable impact for social good projects. These abilities ensure you can effectively analyze data remotely and drive meaningful change in nonprofit or civic-oriented organizations.
What are popular job titles related to Remote Data Science Social Good jobs in Utah? For Remote Data Science Social Good jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Social Good jobs in Utah look for? The top searched job categories for Remote Data Science Social Good jobs in Utah are:
What cities in Utah are hiring for Remote Data Science Social Good jobs? Cities in Utah with the most Remote Data Science Social Good job openings:

Data Science Intern | Fully Remote US

HireVue Inc

Sandy, UT • Remote

Part-time

Posted 12 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, 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. 

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.

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