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Data Science Manager Remote Jobs in Utah (NOW HIRING)

Varsity Tutors

Earth Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Lucid Software

Sr. Product Manager, AI

Salt Lake City, UT · On-site +1

$122K - $161K/yr

We are looking for a Senior Product Manager to help us take our products to the next level by ... Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Varsity Tutors

Earth Science Tutor

Logan, UT · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Provo, UT · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Cedar City, UT · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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Data Science Manager Remote information

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

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 Manager Remote jobs in Utah? For Data Science Manager Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Utah look for? The top searched job categories for Data Science Manager Remote jobs in Utah are:
What cities in Utah are hiring for Data Science Manager Remote jobs? Cities in Utah with the most Data Science Manager Remote job openings:
Data Science Manager Remote jobs near you
Infographic showing various Data Science Manager Remote job openings in Utah as of August 2026, with employment types broken down into 83% Full Time, 3% Part Time, 3% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

AI Product Manager, Internal Transformations

Teleperformance USA

Salt Lake City, UT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Category : AI Manager

Application Deadline: Ongoing until positions are filled.

to apply, please visit the TP Careers site at https://www.tp.com/en-us/careers.

About TP

TP is a leading global provider of digital business services. We partner with the world's most prominent brands to optimize operations through advanced technology and sustainable business practices. With a global workforce of 500,000 across 300 languages, we are a force for good in our communities and for our clients.

Benefits of working with TP include

TP offers benefits to you and your family. Eligible team members can take advantage of our comprehensive health benefits, which may include medical, vision, and dental.

We invest in and prioritize the mental health and well-being of our team members by providing resources, including Employment Assistance Programs, space in the form of health and personal time off (HPT), and leave programs as eligible.

We offer benefits and tools to help our team members and their families for their financial future. This includes offering competitive 401(K) plans, life insurance, supplemental medical coverage, critical care insurance, pet insurance, FSA plans, and retailer discounts.

Career Growth and Culture

At TP, we prioritize a culture of inclusion and diversity where every employee feels valued. We provide a platform for limitless career advancement, fostering an environment where ambition and high performance lead to long-term success. 

TP is committed to supporting those who serve. We welcome applications from active-duty service members, veterans, and military families. 

Equal Opportunity Employer 

TP is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

If you require reasonable accommodation during the application process, please contact us at 877-877-3944 or contact us here.  Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation-related requests.

Purpose 

The AI Product Manager is responsible for defining, building, and scaling AI-powered products within TP’s global product ecosystem. This role partners closely with AI Engineering, Data Science, Architecture, UX, and Business Units to translate business needs into secure, scalable, and high-impact AI solutions. 

The AI Product Manager owns product discovery, roadmap execution, and performance optimization, ensuring AI products deliver measurable outcomes such as efficiency gains, automation, and experience improvements. The role focuses on strong human-AI orchestration, responsible AI practices, and alignment with TP’s AI strategy. 

This position is 100% work at home. While this position will be working from home, this candidate must be located within the US and be eligible to work in the US without sponsorship. 

Your Responsibilities 

  • AI Product Strategy & Roadmap Execution:  
  • Contribute to the definition and execution of AI product roadmaps across horizontal and vertical solutions. 
  • Translate business problems into clear AI product requirements, user stories, and success metrics. 
  • Prioritize features and initiatives based on impact, feasibility, and strategic alignment. 
  • End-to-End AI Product Lifecycle Ownership 
  • Own the product lifecycle from discovery and experimentation to launch, monitoring, and continuous improvement. 
  • Partner with engineering and data teams to validate AI feasibility, model selection, and orchestration approaches. 
  • Ensure products are scalable, secure, explainable, and production-ready. 
  • Cross-Functional Delivery 
  • Work closely with AI Engineering, Architecture, Data Science, UX, PMO, and Business Units to deliver AI solutions on time and at quality. 
  • Act as the primary product point of contact for assigned AI initiatives. 
  • Support adoption through clear documentation, enablement materials, and stakeholder alignment. 
  • AI Performance & Product Business Impact 
  • Define and track product KPIs such as AHT reduction, automation rate, CSAT improvement, and cost efficiency. 
  • Analyze performance data and user feedback to inform product iterations and enhancements. 
  • Support ROI measurement and value realization for AI initiatives. 
  • Responsible & Ethical AI 
  • Ensure AI products comply with security, data privacy, and responsible AI governance standards. 
  • Collaborate with Legal, Security, and Compliance teams during product design and deployment.

Apply