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Remote Data Science Startup Jobs in Utah (NOW HIRING)

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

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 ...

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

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 ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

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 ...

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Remote Data Science Startup information

What is a remote data science startup?

A Remote Data Science Startup is a company focused on developing data-driven solutions, analytics, or products, with a team that primarily works remotely rather than from a central office. These startups leverage data science techniques such as machine learning, statistical analysis, and big data processing to solve business problems or create innovative products. Employees collaborate using digital tools and platforms, allowing for flexible work arrangements and access to a global talent pool. Remote data science startups often serve various industries, including healthcare, finance, e-commerce, and technology.

What are some unique challenges of working as a data scientist at a remote startup, and how can I prepare for them?

Working as a data scientist at a remote startup often involves navigating ambiguous project requirements, rapidly shifting priorities, and a high degree of autonomy. You may find yourself balancing multiple roles, such as data engineering and analysis, especially when the team is small. Strong communication skills are essential for collaborating effectively across time zones and ensuring alignment with product and business goals. Preparing by developing self-management habits, proactively seeking feedback, and becoming comfortable with remote collaboration tools will help you thrive in this dynamic environment.

What are the key skills and qualifications needed to thrive at a remote data science startup, and why are they important?

To thrive at a remote data science startup, you need strong analytical skills, proficiency in statistics, and experience with programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, cloud platforms (e.g., AWS, GCP), and version control systems like Git is typically required. Exceptional self-motivation, communication, and collaboration skills are crucial to excel in a remote and fast-paced startup environment. These competencies enable you to deliver actionable insights, adapt to rapid changes, and collaborate effectively across distributed teams.

What are the most commonly searched types of Data Science Startup jobs in Utah?

The most popular types of Data Science Startup jobs in Utah are:

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For Remote Data Science Startup jobs in Utah, the most frequently searched job titles are:

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The top searched job categories for Remote Data Science Startup jobs in Utah are:

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Remote Data Science Startup jobs near you

AI Solutions Engineer

Applause

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Life, PTO

Re-posted 3 days ago

Job description

Hiring Manager: Jeff Martin, CTO
We're looking for an AI Solutions Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.
Responsibilities:
  • AI Workflow Roadmap & Delivery
    • Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
    • Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
    • Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
    • Iterate and fine-tune workflows post-launch based on usage and feedback
  • Systems & Integrations
    • Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
    • Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
    • Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
  • Adoption, Training & ROI
    • Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
    • Troubleshoot adoption issues directly with end users rather than escalating them
    • Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
    • Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
    • Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change

Requirements
    • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
    • 2-4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
    • Able to write and modify code for simple, internal business applications (even if AI writes most of it)-production-grade or engineering-quality code is not required
    • Programming Languages: Javascript/Typescript preferred
    • Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
    • Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
    • Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
    • Strong communicator who can train and troubleshoot with non-technical users
    • Detail-oriented with strong ownership over initiatives, start to finish
    • Very effective in a remote work environment

Benefits
Benefits: 100% remote w/ no office mandate Unlimited PTO 20 official company holidays Health care Life insurance Stock options Amazing colleagues Energetic culture that is positive and celebrates together Inspiring mission & software product Ability to grow your career by being early in a fast-growing tech startup
About Applause
Applause is a SaaS start-up founded by experienced entrepreneurs and backed by the best VCs in Silicon Slopes. We're focused on helping companies supercharge their team's performance so they can win more lifelong customers. Learn more about our company and culture here:

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