Work you'll do As an AI and Data Science Engineer III on the Strategic Analytics team, you will be ... Google Cloud Platform * 2+ years of experience using Structured Query Language and working with ...
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Google Data Science information
See Nevada salary details
$25.9K - $42.8K
9% of jobs
$42.8K - $59.7K
8% of jobs
$59.7K - $76.7K
6% of jobs
$78.8K is the 25th percentile. Wages below this are outliers.
$76.7K - $93.6K
6% of jobs
$93.6K - $110.5K
7% of jobs
The median wage is $125.5K / yr.
$110.5K - $127.4K
14% of jobs
$127.4K - $144.3K
18% of jobs
$151.7K is the 75th percentile. Wages above this are outliers.
$144.3K - $161.2K
13% of jobs
$161.2K - $178.2K
7% of jobs
$178.2K - $195.1K
6% of jobs
$195.1K - $212K
4% of jobs
$25.9K
$122.6K
$212K
How much do google data science jobs pay per year?
What is a Google data science?
A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.
What types of projects do Google data science professionals typically work on?
Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.
What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?
To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.
What are the most commonly searched types of Google Data Science jobs in Nevada?
The most popular types of Google Data Science jobs in Nevada are:
What are popular job titles related to Google Data Science jobs in Nevada?
For Google Data Science jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Nevada look for?
The top searched job categories for Google Data Science jobs in Nevada are:
What cities in Nevada are hiring for Google Data Science jobs?
Cities in Nevada with the most Google Data Science job openings:

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Las Vegas, NV
Full-time
Re-posted yesterday
Deloitte rating
8.2
Based on 93 frontline employees who took The Breakroom Quiz
46th of 151 rated financial services
Job description
Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.
Recruiting for this role ends on August 30th 2026.
Work you'll do
As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for
- Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
- Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
- Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
- Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
- Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.
Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
- 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
- 3+ years of experience developing solutions using Python
- 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
- Experience developing generative artificial intelligence or large language model solutions
- Experience with machine learning operations tooling and model deployment frameworks
- Experience building application programming interfaces or production data products
- Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
- Experience with data visualization tools such as Tableau or Power BI
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.
Recruiting for this role ends on August 30th 2026.
Work you'll do
As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for
- Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
- Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
- Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
- Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
- Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.
Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
- 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
- 3+ years of experience developing solutions using Python
- 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
- Experience developing generative artificial intelligence or large language model solutions
- Experience with machine learning operations tooling and model deployment frameworks
- Experience building application programming interfaces or production data products
- Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
- Experience with data visualization tools such as Tableau or Power BI
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type:About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US