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Hourly Google Data Science Jobs in Nevada (NOW HIRING)

Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with Docker ... Data Science, Information Systems, or a related technical discipline with a minimum of 2 years of ...

Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with Docker ... Data Science, Information Systems, or a related technical discipline with a minimum of 2 years of ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services ...

Showing results 21-40

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.

What cities in Nevada are hiring for Hourly Google Data Science jobs?

Cities in Nevada with the most Hourly Google Data Science job openings:

Computer Scientist II

JT4, LLC

Las Vegas, NV • On-site

Full-time

Re-posted 22 days ago


Job description

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges.
JOB SUMMARY -- ESSENTIAL FUNCTIONS/DUTIES
The Computer Scientist II provides technical expertise in the analysis, design, development, and implementation of advanced software and data-driven solutions that support operational decision-making and mission objectives. This role collaborates with customers, project managers, and multidisciplinary teams to design scalable software systems, develop analytical technologies, and implement secure AI-enabled solutions.
The ideal candidate possesses strong experience in Python software development, data architecture, database technologies (SQL, NoSQL, Vector, and Object databases), and Large Language Models (LLMs). This position requires a balance of analytical thinking, software engineering, and customer engagement within a secure government environment.
Employee will be responsible for the following functions/duties:
  • Serve as a technical advisor to engineers, scientists, and project managers on complex software and analytical challenges.
  • Collaborate with customers and stakeholders to gather, analyze, and translate business and technical requirements into software solutions.
  • Design, develop, implement, and maintain scalable database architectures using SQL, NoSQL, Vector, and Object database technologies.
  • Develop, integrate, optimize, and maintain Large Language Model (LLM) solutions within secure enterprise environments.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and AI-driven workflows using vector databases and modern AI frameworks.
  • Build, deploy, and maintain custom data visualization and analytical dashboards that provide actionable operational insights.
  • Develop efficient, maintainable Python applications and automation scripts for data processing, workflow automation, and system integration.
  • Participate in software architecture, design reviews, code reviews, and technical documentation throughout the software development life cycle.
  • Plan, develop, and execute unit, integration, system, and regression testing to ensure software quality and reliability.
  • Apply principles of computer science, mathematics, statistics, operations research, and engineering to analyze complex operational problems and develop data-driven solutions.
  • Collect, organize, and analyze large datasets; evaluate alternative approaches; and present findings through technical reports and presentations.
  • Produce comprehensive technical documentation supporting software development, testing, deployment, and system sustainment.
  • Support system maintenance, troubleshooting, performance optimization, and continuous improvement initiatives.
  • Perform other job-related duties, as required

DESIRED QUALIFICATIONS
  • Experience with Retrieval-Augmented Generation (RAG), embeddings, prompt engineering, and vector search technologies.
  • Experience with AI frameworks such as LangChain, LlamaIndex, Hugging Face, or similar platforms.
  • Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and DevSecOps practices.
  • Familiarity with Git, Agile software development methodologies, and secure software development lifecycle (SSDLC) practices.
  • Experience working within Department of Defense (DoD), Intelligence Community (IC), or other government environments.

REQUIREMENTS -- EDUCATION, TECHNICAL, AND WORK EXPERIENCE
A bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline with a minimum of 2 years of relevant professional experience; or a Master's degree in a related field.
In addition, a Computer Scientist II must possess the following qualifications:
  • Demonstrated experience designing and supporting relational (SQL), NoSQL, Vector, and Object database technologies.
  • Advanced proficiency in Python programming for software development, automation, data engineering, and system integration.
  • Hands-on experience integrating, deploying, or optimizing Large Language Models (LLMs) in production or research environments.
  • Experience developing data visualization, reporting, or analytical dashboard solutions.
  • Experience designing, developing, testing, and maintaining enterprise software applications.
  • Working knowledge of software engineering principles, object-oriented programming, version control, and software development best practices.
  • Strong analytical and problem-solving skills with the ability to evaluate complex technical challenges.
  • Excellent written and verbal communication skills with experience preparing technical reports and presenting analytical findings.
  • Demonstrated ability to manage multiple priorities while working independently and collaboratively in a team environment.

SALARY
The expected salary range for this position is $101,920.00 to $110,240.00 annually.
Note: The salary range offered for this position is a good faith description of the expected salary range this role will pay. JT4 considers factors such as (but not limited to) responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market/business considerations when extending an offer.
OTHER RESPONSIBILITIES
Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job.
WORKING CONDITIONS
Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required.
Travel to remote company work locations may be required.
DISCLAIMER
The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified.
Tasking is in support of a federal government contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses / certifications and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment.
SCC: JSD12; JCORP12

JT4 logo

About JT4

Sourced by ZipRecruiter

JT4 provides engineering and technical support to multiple western test ranges for the U.S. Air Force and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. We develop and maintain realistic integrated test and training environments, and prepare our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges.

Industry

Engineering professional services

Company size

1,001 - 5,000 Employees

Headquarters location

Las Vegas, NV, US

Year founded

2001

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