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Hourly Google Data Science Jobs in Utah (NOW HIRING)

Imh

Data Architect - Staff

West Valley City, UT · On-site +1

$44.36 - $69.85/hr

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture ... A Master's Degree in an analytics-related field such as information systems, data science ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This ... Google Tag Manager and running custom analytics reports using Google Analytics and Big Query ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This ... Google Tag Manager and running custom analytics reports using Google Analytics and Big Query ...

MRM

Data Analyst

Salt Lake City, UT · On-site

Data Science and Analytics** **MRM is part of the Omnicom Precision Marketing activation practice ... Google Tag Manager and running custom analytics reports using Google Analytics and Big Query ...

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

New

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

New

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

New

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

New

Stryker

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic ... Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days. $20 min hourly wage - $35 ...

New

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Hourly Google Data Science information

What is an hourly Google data science?

An Hourly Google Data Science job refers to a data science role at Google where an individual is compensated based on the number of hours worked, rather than receiving a fixed annual salary. These positions may be contract-based, freelance, or part of a temporary staffing arrangement. Hourly data scientists at Google typically analyze large datasets, build predictive models, and help inform business decisions using statistical and machine learning techniques. This role requires strong analytical skills, programming expertise, and familiarity with tools such as Python, R, and SQL. It can be a good option for those seeking flexible work arrangements or project-based employment.

What does an hourly Google data scientist do?

As an Hourly Google Data Science professional, you can expect to work on data cleaning, exploratory data analysis, and supporting ongoing projects with statistical insights. Your day may involve collaborating with product managers and engineers to define metrics, analyze user behavior, and present findings through clear visualizations. Because the role is hourly, tasks are often project-based with a strong emphasis on timely deliverables and adapting to shifting priorities. Collaboration tools and regular check-ins help ensure alignment with the team and project goals.

What skills and qualifications are needed to thrive as an hourly Google data scientist?

To thrive as an Hourly Google Data Scientist, you generally need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis. Familiarity with programming languages like Python or R, as well as tools such as SQL, TensorFlow, and Google Cloud Platform, is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help individuals stand out in this role. These skills are crucial for extracting actionable insights from data, effectively presenting findings, and driving impactful decisions within Google's fast-paced environment.
Hourly Google Data Science jobs near you

Delivery Manager (AI & Data Science)

Provo, UT • On-site

Fint Solutions Inc
See more jobs at Fint Solutions Incexternal

Other

Posted 3 days ago

New

Job description

Position Overview

The Delivery Manager will oversee end-to-end delivery of AI and Data Science initiatives, ensuring projects are executed on time, within scope, and aligned with business objectives. This role requires a blend of technical expertise, project management skills, and stakeholder engagement to drive successful outcomes in advanced analytics, machine learning, and AI solutions.

Key Responsibilities:

  • Project Delivery: Lead planning, execution, and delivery of AI and Data Science projects, ensuring adherence to timelines, budgets, and quality standards.
  • Stakeholder Management: Collaborate with business leaders, product owners, and technical teams to align project goals with organizational strategy.
  • Technical Oversight: Provide guidance on AI/ML model development, data pipelines, and deployment strategies.
  • Team Leadership: Manage cross-functional teams of data scientists, engineers, and analysts, fostering collaboration and innovation.
  • Risk Management: Identify potential risks, develop mitigation strategies, and ensure compliance with data governance and ethical AI practices.
  • Continuous Improvement: Implement best practices in agile delivery, DevOps, and MLOps to enhance efficiency and scalability.

Required Skills & Qualifications:

  • Educational Background: Bachelor s/Master s in Computer Science, Data Science, Engineering, or related field.
  • Experience: 8+ years in project delivery, with at least 3 years in AI/Data Science domains.
  • Technical Knowledge: Strong understanding of ML frameworks (TensorFlow, PyTorch), data platforms (Azure, AWS, Google Cloud Platform), and MLOps practices.
  • Leadership Skills: Proven ability to lead diverse teams and manage complex projects.
  • Communication: Excellent verbal and written communication skills for engaging technical and non-technical stakeholders.

Preferred Attributes

  • Experience with AI product lifecycle from ideation to deployment.
  • Familiarity with data governance, privacy regulations, and ethical AI frameworks.
  • Certifications in Agile, Scrum, or Project Management.

Apply