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Remote Data Scientist Machine Learning Jobs in Utah

Software Engineer

UT ยท Remote

This is a remote position but may require occasional travel to a JR Automation or customer facility ... Machine Learning and other AI - ML, Custom AI programming, etc. * Machine Vision - Halcon, Cognex ...

Ability to explain statistical modeling techniques, machine learning basics, and business ... Skilled at breaking down regression modeling, data visualization design, and optimization problem ...

Business Analytics Tutor

Logan, UT ยท Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Skilled at breaking down regression modeling, data visualization design, and optimization problem ...

Business Analytics Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Skilled at breaking down regression modeling, data visualization design, and optimization problem ...

Business Analytics Tutor

Provo, UT ยท Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Skilled at breaking down regression modeling, data visualization design, and optimization problem ...

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is ... machine learning, object storage, and high-performance computing at customer sites and in the lab.

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 ...

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Remote Data Scientist Machine Learning information

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
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:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Utah? For Remote Data Scientist Machine Learning jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Data Scientist Machine Learning jobs? Cities in Utah with the most Remote Data Scientist Machine Learning job openings:
Sales Operations & AI Strategy Manager

Sales Operations & AI Strategy Manager

Talkdesk

Salt Lake City, UT โ€ข Remote

$104K - $123K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

The Opportunity

We are looking for a forward-thinking, hands-on Manager of Sales Operations to modernize the engine room of our sales organization. While this role oversees the Sales Operations function, your primary mission will be to evolve our "lead-to-quote" journey from a manual workflow into an AI-augmented, frictionless, and highly scalable ecosystem.

The ideal candidate is a Salesforce power user who isn't just comfortable with a clean spreadsheet, but is passionate about leveraging machine learning and automation to eliminate administrative drag. You will bridge the gap between traditional operations and the future of AI-driven sales, providing the executive team with predictive insights to steer our growth.

Key Responsibilities


AI Implementation & Automation: Evaluate and deploy AI tools to automate routine tasks within the sales lifecycle, such as automated lead scoring, AI-assisted deal triaging, and generative contract summaries for the legal and finance teams.

Intelligent Process Optimization: Re-architect the end-to-end sales lifecycle-from lead routing and CPQ to revenue recognition-by identifying bottlenecks that can be solved through intelligent automation and workflow triggers.

Predictive Strategic Insights: Move beyond historical reporting. Use AI-driven analytics to enhance sales forecasting accuracy, identify "at-risk" pipeline deals, and deliver proactive performance metrics to drive executive decision-making.

Next-Gen Systems Management: Own the roadmap for Salesforce CRM and integrated AI sales tools. Ensure our tech stack isn't just a database, but a proactive assistant that enhances sales productivity.

Cross-Functional Synergy: Act as the strategic lead between Sales, Finance, and Legal to ensure AI-driven processes remain compliant, ethically sound, and aligned with our broader go-to-market strategies.

Change Management: Lead the transition from manual operations to automated workflows, providing the training and documentation necessary to ensure high adoption of new AI tools across the organization.

Qualifications


Experience: 5+ years in Sales Operations, Revenue Operations, or Finance, with a demonstrable track record of implementing automation or AI-driven process improvements.

SaaS & Data Expertise: Deep understanding of the SaaS business model (ARR, consumption, churn) coupled with an understanding of how data quality impacts AI model effectiveness.

Technical Proficiency: Advanced knowledge of Salesforce CRM and Salesforce CPQ is required. Familiarity with AI integration platforms, Snowflake, or BI tools (Tableau, Looker) is a significant advantage.

Operational Innovation: Proven track record of reducing "Lead-to-Cash" cycle times through technology and eliminating manual data entry/errors.

Education: Bachelor's degree in Business, Finance, Data Science, or a related field.

Who You Are

A Builder: You aren't just a maintainer of the status quo; you enjoy building systems from the ground up. You have a "product manager" mindset toward internal tools, constantly iterating to create a more robust and scalable infrastructure.

An "Architect": You build scalable, automated systems that prevent issues from occurring in the first place.

AI-Fluent: You stay ahead of the curve on generative AI and machine learning trends, specifically how they apply to CRM efficiency and sales productivity.

Data Purist: You understand that "garbage in equals garbage out" and maintain a high bar for data integrity to ensure AI outputs are reliable.

Strategic Problem Solver: You thrive on finding the most efficient path between two points and aren't afraid to disrupt the status quo to get there.

Note to Candidates: This is a high-impact role designed for someone who wants to define the future of Sales Ops. If you are excited about moving beyond manual management and into the era of the "Autonomous Sales Org," we want to hear from
ย you.

Pay Range (Base Pay):ย ย  $104,000 - $123,500

Other Types of Pay:ย Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission.ย 

Health Insurance:ย Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits:ย 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year.ย 

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Method of Application:ย Apply online.

Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 06/12/2026

Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.

All questions or concerns about this posting should be directed to the Talent team atย Talent@talkdesk.com.