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Remote Statistician Jobs in Utah (NOW HIRING)

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Strong understanding of supervised learning, model evaluation, and statistical analysis ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

America First Credit Union

Call Center Agent

Roy, UT · On-site +1

$16 - $18/hr

Remote work AFTER training Hours of Operation: Mon-Fri: 8:00am-7:00pm Sat: 8:00am-6:00pm Must be ... Completes required stats and records accurately and promptly. d. Attends and participates in ...

America First Credit Union

Call Center Agent

Roy, UT · On-site +1

$16 - $18/hr

Remote work AFTER training Hours of Operation: Mon-Fri: 8:00am-7:00pmSat: 8:00am-6:00pm Must be ... Completes required stats and records accurately and promptly. d. Attends and participates in ...

Bristol Hospice

Volunteer Coordinator

Salt Lake City, UT · On-site +1

$28 - $31/hr

Maintain monthly statistics and current personnel files * Revaluate volunteer program, as necessary ... Hybrid - Must be able to work remote and come into the office * Occasional travel may be required

New

UnitedHealth Group

Senior Fraud Analyst - Remote

Draper, UT · On-site +1

$72K - $130K/yr

... statistical analytics and data mining * 2+ years of experience with SQL * 2+ years of experience with payment card operations, disputes, chargeback or fraud analysis * Proficient Excel experience (e ...

United Soccer League (USL)

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Work alongside the Digital Services team to generate and organize statistical, team and player ...

United Soccer League (USL)

$13.50 - $17/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports, visualizations ...

United Soccer League (USL)

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Work alongside the Digital Services team to generate and organize statistical, team and player ...

United Soccer League (USL)

$15.25 - $19/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports, visualizations ...

United Soccer League (USL)

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Work alongside the Digital Services team to generate and organize statistical, team and player ...

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All JobsStatistician JobsRemote Statistician JobsRemote Statistician Jobs in Utah

Remote Statistician information

What is a remote statistician?

Remote statisticians are professionals who analyze data, interpret statistical results, and provide insights, all while working from a location outside of a traditional office setting. They use statistical software and programming languages to collect, organize, and interpret large datasets for organizations or research projects. Working remotely allows statisticians to collaborate with teams and clients from anywhere, often using digital communication tools and cloud-based platforms. This flexibility can enhance work-life balance and broaden job opportunities across industries such as healthcare, finance, government, and technology.

What does a remote statistician do?

As a remote statistician, you telecommute to perform a number of duties for a business, such as a tech company, marketing firm, or bank, or another type of organization, such as a nonprofit, academic research organization, or government agency. Your responsibilities are to collect and analyze data and statistics and review reports from your organization to ensure statistical accuracy for all publications or studies. Some statisticians also work with other researchers to develop surveys and experiment designs and develop methods for collecting data.

What are the key skills and qualifications needed to thrive as a remote statistician, and why are they important?

To thrive as a Remote Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data visualization tools are commonly required. Excellent problem-solving, communication, and time management skills distinguish top performers in remote environments. These skills ensure accurate data interpretation, effective collaboration with distributed teams, and the delivery of valuable insights for data-driven decision-making.

How do remote statisticians typically collaborate with cross-functional teams while working offsite?

Remote statisticians often use digital collaboration tools such as video conferencing, shared data platforms, and project management software to stay connected with cross-functional teams. Regular virtual meetings and clear communication channels are established to discuss project goals, share insights, and address data-related challenges. Being proactive in communication and documentation helps ensure alignment with data scientists, researchers, and business stakeholders, despite working from different locations.

What is the difference between Remote Statistician vs Remote Data Analyst?

AspectRemote StatisticianRemote Data Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Data Science, Analytics, or related; proficiency in data tools
Work EnvironmentRemote, often in research or consulting firmsRemote, in various industries including marketing, finance, healthcare
Employer & Industry UsageResearch institutions, healthcare, government agenciesBusiness, marketing, finance, tech companies

While both roles involve analyzing data, Remote Statisticians focus on complex statistical modeling and research, whereas Remote Data Analysts typically handle data cleaning, visualization, and reporting for business insights. The roles overlap in skills and remote work settings, but their primary focus and industry applications differ.

Can you work remotely as a remote statistician?

Remote statisticians can often work from home or other locations, depending on the employer and project requirements. Many roles require proficiency with statistical software and data analysis tools, and some may involve collaboration via online platforms. Remote work arrangements are common in this field, especially for experienced professionals with strong communication skills.

Is there a high demand for remote statisticians?

Remote statisticians are in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis. Employers seek professionals skilled in statistical software and data modeling, and remote work options are widely available for qualified candidates.
More about Remote Statistician jobs

What are the most commonly searched types of Statistician jobs in Utah?

The most popular types of Statistician jobs in Utah are:

What are popular job titles related to Remote Statistician jobs in Utah?

For Remote Statistician jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Statistician jobs in Utah look for?

The top searched job categories for Remote Statistician jobs in Utah are:

What cities in Utah are hiring for Remote Statistician jobs?

Cities in Utah with the most Remote Statistician job openings:

Remote Statistician jobs near you
Infographic showing various Remote Statistician job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Scientist

Entrata

Lehi, UT • On-site, Remote

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Key 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.

  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies

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.
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.

What Entrata employees say

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