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Volunteer Data Scientist Machine Learning Jobs in Utah

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...

An IT Data Scientist is a master professional who is fully responsible for advising the appropriate ... Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and keras

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

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Showing results 1-20

Volunteer Data Scientist Machine Learning information

What does a volunteer data scientist machine learning do?

A Volunteer Data Scientist in Machine Learning applies data analysis and machine learning techniques to help organizations solve problems, often for nonprofits or community projects. They may work on tasks such as cleaning and analyzing datasets, building predictive models, or creating data visualizations. Their work supports impactful decision-making and can help organizations operate more efficiently or achieve specific social goals. Volunteers often collaborate with teams to define project objectives and deliver actionable insights using their technical expertise.

What skills and qualifications are needed to thrive as a volunteer data scientist machine learning?

To thrive as a Volunteer Data Scientist (Machine Learning), you need proficiency in statistics, data analysis, programming (Python or R), and a foundational understanding of machine learning algorithms, often supported by a relevant degree or online certifications. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and data visualization platforms is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for translating complex data insights to non-technical stakeholders. These skills and qualities are essential to effectively contribute value, support decision-making, and drive impact in resource-limited volunteer environments.

How does a volunteer data scientist machine learning typically collaborate with other team members or departments?

As a Volunteer Data Scientist specializing in Machine Learning, you will often work closely with cross-functional teams such as project managers, software engineers, and subject matter experts. Effective collaboration is essential, as you may need to clarify project goals, source and preprocess data, or translate complex findings for non-technical stakeholders. Regular meetings and open communication help ensure that your machine learning solutions are aligned with the organization's mission and that your insights are actionable. This collaborative environment provides valuable experience working in diverse teams and often leads to impactful, real-world applications of your technical skills.

What is the difference between Volunteer Data Scientist Machine Learning vs Volunteer Data Analyst?

AspectVolunteer Data Scientist Machine LearningVolunteer Data Analyst
Required CredentialsKnowledge of machine learning algorithms, programming skills (Python, R), basic statisticsProficiency in data visualization, basic statistics, Excel, SQL
Work EnvironmentCollaborative projects, research-focused, often remote or nonprofit settingsData reporting, dashboard creation, data cleaning in nonprofit or community projects
Employer & Industry UsageTech nonprofits, research institutions, startupsCharities, educational organizations, community initiatives

Volunteer Data Scientist Machine Learning focuses on developing predictive models and advanced analytics, requiring programming and machine learning expertise. Volunteer Data Analyst emphasizes data interpretation, visualization, and reporting. Both roles support nonprofits but differ in technical complexity and focus areas.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Utah?

The most popular types of Data Scientist Machine Learning jobs in Utah are:

Senior Data Scientist

Lehi, UT • On-site

Entrata
Software Development • 1 - 5K employees

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.
We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data, experimentation, evaluation, and identifying the approaches that produce the best outcomes for complex property management workflows.
Responsibilities:
  • Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods.
  • Design and curate high-quality training datasets, including instruction data, preference data, and synthetic data.
  • Develop evaluation frameworks and benchmarks to measure model accuracy, reasoning, reliability, and task performance.
  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.
  • Perform model error analysis and identify opportunities to improve model behavior and output quality.
  • Partner with machine learning engineers to move successful experiments into production.
  • Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.
  • Translate business and product problems into measurable machine learning objectives.

Minimum Qualifications:
  • 5+ years of experience in data science, machine learning, applied AI, or a related field.
  • Hands-on experience working with large language models, including fine-tuning, evaluation, or model adaptation.
  • Strong proficiency in Python and common machine learning frameworks.
  • Experience designing experiments, analyzing model performance, and working with large datasets.
  • Strong understanding of supervised learning, model evaluation, and statistical analysis.
  • Experience building or evaluating machine learning systems in production environments.
  • Ability to communicate technical findings clearly to engineering, product, and business stakeholders.

Preferred Qualifications:
  • Experience with supervised fine-tuning, preference optimization, or other LLM post-training techniques.
  • Experience creating synthetic training data or model-generated datasets.
  • Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement systems.
  • Familiarity with agentic AI systems, tool use, and retrieval-based applications.
  • Experience working with enterprise, financial, legal, operational, or other domain-specific AI applications.
  • Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.

$133,100 - $213,200 a year
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.
Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.
HSA/FSA options and employer-paid disability benefits provided for eligible employees.
Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.
Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.
Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.
Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.
Bi-annual swag drops for employees
Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles.
Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.
It's a great place to work! Will you join us?
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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