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Google Data Science Jobs (NOW HIRING)

corporate_fare Google place San Francisco, CA, USA Mid Experience driving progress, solving ... Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering certifications * Certified Data Management Professional (CDMP) or The Open ...

Info Way Solutions is seeking a Data Science professional to join their team. The role involves ... Azure or Google Cloud. • Knowledge of a variety of machine learning techniques (clustering ...

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We ... Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) Help develop strategic ...

Showing results 41-60

Google Data Science information

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$24.5K

$115.9K

$200.5K

How much do google data science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for google data science in the United States is $115,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $145,500.00 per year, depending on experience, location, and employer.

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.

More about Google Data Science jobs

What cities are hiring for Google Data Science jobs?

Cities with the most Google Data Science job openings:

What are the most commonly searched types of Google Data Science jobs?

The most popular types of Google Data Science jobs are:

What states have the most Google Data Science jobs?

States with the most job openings for Google Data Science jobs include:

Infographic showing various Google Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $115,933 per year, or $55.7 per hour.

Global Data Transformation Lead, Large Customer Sales

New York, NY • On-site

Google
Software Development • 10K+ employees

Full-time

Posted 6 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 11 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field.

Preferred qualifications:
  • Experience architecting and implementing AI-driven data and marketing technology roadmaps, with expertise in cloud-based solutions for the media, advertising, and technology sectors.
  • Strong project management and client-facing experience, delivering high-profile projects and influencing executive stakeholders while collaborating with cross-functional teams.
  • Ability to create a goal for clients, aligning their business goals with AI-powered technical solutions, and a passion for bringing AI to how customers grow their business.
  • Ability to build and maintain relationships with executive-level stakeholders.
  • Exceptional written and verbal communication skills, with the ability to present complex technical information to both technical and non-technical audiences.

About the job
As a Global Data Transformation Lead (DTL), you will be at the forefront of a major shift, helping some technical companies revolutionize their approach to marketing through the adoption of AI. You won't just be implementing solutions; you'll be shaping the future of marketing for these industry leaders. You will partner with cross-functional teams, including sales, data science, and engineering, to drive the adoption of AI-powered marketing strategies. You will act as a trusted advisor, translating client needs into technical roadmaps and ensuring successful implementation. You'll play a pivotal role in defining best practices and influencing the broader industry, making a real impact on the success of our clients and Google's growth. You'll also be responsible for fostering excellent relationships with C-level executives, guiding them through the implications of AI and data-driven marketing.
Google's Large Customer Sales (LCS) teams are partners and industry thought leaders for the world's leading brands and agencies. We partner with clients to navigate industry shifts and drive significant business performance. You will have the opportunity to promote at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering measurable results that significantly impact major global businesses.Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $142000 - $206000 (USD) 75% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Act as a key technical advisor, translating complex concepts into clear stories for business stakeholders. Educate, drive influence, and build relationships with stakeholders through measurement subject matter knowledge.
  • Develop partnerships with customers to support their data and measurement infrastructure strategy, and collaboratively establish a roadmap to guide successful execution. Partner with sales and product teams to identify opportunities and drive growth.
  • Influence executive stakeholders to adopt Google's Data Strength solutions, including Enhanced Conversions and Google tag gateway, demonstrating a deep understanding of their business.
  • Lead clients in modernizing their data infrastructure for advanced AI solutions, establishing best practices and a long-term data strategy. Drive conceptual client buy-in and adoption of bespoke Google AI solutions to support Google business growth.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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