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Hourly Google Data Science Jobs in Utah (NOW HIRING)

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

Embark on a rewarding journey at Entrata, where your advanced skills in data science will drive ... Google AI Platform, or Azure Machine Learning. * Proven project management skills leading data ...

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 ...

AVA Consulting

Data Analyst

Salt Lake City, UT · On-site

... data science, finance, consulting, HR analytics, compensation, or a related field. You are a ... Strong proficiency and advanced Excel or Google Sheets strongly preferred; proficiency in SQL ...

Boys & Girls Club Of Utah County

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Spreadsheet & Systems Support * Assist in maintaining Google Sheets, dashboards, databases, and ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

Boys & Girls Clubs of Utah County

Data Clerk

Provo, UT · On-site

$16 - $21.50/hr

Spreadsheet & Systems Support * Assist in maintaining Google Sheets, dashboards, databases, and ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

Boys & Girls Club Of Utah County

Data Clerk

Provo, UT · On-site

$16 - $21.50/hr

Spreadsheet & Systems Support * Assist in maintaining Google Sheets, dashboards, databases, and ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

Boys & Girls Club Of Utah County

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Spreadsheet & Systems SupportAssist in maintaining Google Sheets, dashboards, databases, and ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Deloitte

Google AI Lead Architect

Salt Lake City, UT

$53.50 - $73.25/hr

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs ... Bachelor's degree in Computer Science, Engineering or a related technical field. * 8+ years ...

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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.

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Hourly Google Data Science jobs near you

Senior Data Scientist

Entrata

Lehi, UT • On-site

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 245 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.
Embark on a rewarding journey at Entrata, where your advanced skills in data science will drive innovation and shape the future of our products. As a Senior Data Scientist, you will lead initiatives for data-driven decision-making, collaborating with cross-functional teams to optimize and enhance our offerings. Join us in fostering a culture of excellence and be a key contributor to the success of Entrata's long-term roadmap. If you are a seasoned professional with a passion for cutting-edge technologies and a commitment to best practices, this senior-level opportunity awaits you at the forefront of SaaS innovation.
Responsibilities:
  • Utilize your advanced skills in quantitative analysis, data mining, and statistical modeling to generate impactful features and AI/ML based capabilities for Entrata products.
  • Lead initiatives for data-driven decision-making, enhancing the creation, completion, and adoption of our products with a focus on optimization and efficiency.
  • Foster strong collaboration with product managers, engineers and designers to align data science initiatives with product goals.
  • Employ innovative and forward-thinking approaches to identify and evaluate new opportunities for AI/ML contributions within Entrata's long-term roadmap.
  • Execute machine learning and statistical analyses to create practical, scalable, and robust product solutions related to prediction, forecasting and LLMs.
  • Champion best practices in quantitative analysis and strengthen cross-functional relationships.
  • Work alongside engineers and product managers on scoping, ideating, and developing code-based proofs of concept, sharing knowledge and upscaling colleagues in a supportive and engaging manner.

Minimum Qualifications:
  • Strong understanding of inferential statistics, experimentation, and machine learning models, with emphasis on feature engineering and model robustness.
  • Expertise in NLP/NLU/NLG models, including LLMs, NERs, Sentiment Analysis, and Topic Modeling.
  • Proficiency in AI/ML production pipeline, with hands-on experience in AWS ecosystem, GitHub, Terraform, and cloud-based ML services like AWS SageMaker, Google AI Platform, or Azure Machine Learning.
  • Proven project management skills leading data projects from conception to implementation, including defining scopes, data gathering, analysis, and stakeholder presentations.
  • Commitment to sharing best practices, creating comprehensive documentation, and staying updated with the latest technologies and methodologies.
  • Experience in containerization and orchestration technologies like Docker, Airflow, and Kubernetes, particularly in the context of ML workflows.
  • Understanding of data governance, privacy, and ethical considerations in AI/ML.
  • Educational background with a BS/BA degree in statistics, mathematics, economics, computer science, or related fields emphasizing statistical analysis and machine learning.
  • 5+ years of quantitative analysis and data science experience.
  • 5+ years of proficiency using SQL, Python, and applied statistical techniques such as inferential methods, causal methods, A/B testing, or statistical modeling techniques.

Preferred Qualifications:
  • Advanced degree in statistics, mathematics, economics, computer science or other degrees with a strong emphasis on statistical analysis and machine learning.
  • Experience with specific LLM technologies like OpenAI, Cohere, and Hugging Face along with open source projects such as Langchain and LlamaIndex.
  • Demonstrated experience in a product-focused role within a SaaS technology company is a key differentiator.
  • Ability to work 3 days from our office in Lehi, UT.

$133,100 - $213,200 a year
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.

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