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Google Data Science Jobs in Seattle, WA (NOW HIRING)

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ... As more of the shopping journey shifts to Instagram, Tik tok, ChatGPT and Google, purchase ...

Superhuman

Data Engineer, Growth

Seattle, WA · On-site

$130K - $156K/yr

You'll partner closely with Growth, Performance Marketing, and Data Science to turn raw acquisition ... Comfortable working with marketing and ad-platform data (for example, Google Ads, Meta, or LinkedIn ...

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

... Google AI Overviews, and Meta are reshaping how consumers discover and buy. The Role We are seeking ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...

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Showing results 21-40

All JobsGoogle Data Science JobsGoogle Data Science Jobs in Seattle, WA

Google Data Science information

See Seattle, WA salary details

$26.5K

$125.5K

$217K

How much do google data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for google data science in Seattle, WA is $125,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,091.00 and $157,476.00 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.

What are the most commonly searched types of Google Data Science jobs in Seattle, WA?

The most popular types of Google Data Science jobs in Seattle, WA are:

What are popular job titles related to Google Data Science jobs in Seattle, WA?

For Google Data Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Seattle, WA look for?

The top searched job categories for Google Data Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Google Data Science jobs?

Cities near Seattle, WA with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,476 per year, or $60.3 per hour.

AI/ML Scientist

SpangleAI

Bellevue, WA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Spangle AI is a dynamic startup focused on connecting AI-led discovery to real-time conversion. The AI/ML Scientist will be responsible for building GAI/LLM models end-to-end and collaborating with cross-functional teams to enhance customer experiences in the e-commerce sector.
Responsibilities:
• Conduct cutting-edge research in Generative AI (GAI) and Large Language Models (LLMs), staying at the forefront of AI/ML advancements.
• Identify and explore novel algorithms, architectures, and techniques to enhance model performance, scalability, and efficiency in e-commerce applications.
• Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction.
• Design, build, and manage ETL processes to gather data from various sources, transform it into a usable format, and load it into a data warehouse or data lake.
• Collaborate with product, engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences.
• Design and conduct experiments to evaluate the performance and effectiveness of generative and language models in an e-commerce context.
Qualifications:
Required:
• Ph.D. or Master’s degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence
• 2-5 years of experience, proven experience in developing and deploying AI applications end to end in real-world applications, preferably in e-commerce or a related field
• Deep expertise in generative models (e.g., GANs, diffusion models, autoencoders) and Large Language Models (e.g., GPT, BERT, T5, LLaMA)
• Experience with LLM fine-tuning, RL post training, prompt engineering, and deploying LLMs for applications such as natural language understanding, content generation, and recommendation systems
• Strong understanding of the architecture and training techniques for transformer-based models, attention mechanisms, and optimization strategies for LLMs
• Expertise in distributed training of large-scale models, including using parallelization and optimization techniques for handling large datasets
• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, and libraries focused on GAI/LLM development
• Familiarity with data warehouse and data pipeline technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake, Apache Airflow)
• Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models, especially those involving LLMs and GAI
• Understanding of reinforcement learning and its applications within generative AI and LLMs for decision-making, personalization, or conversational AI systems
Company:
As more of the shopping journey shifts to Instagram, Tik tok, ChatGPT and Google, purchase decisions form before consumers reach your site. Founded in 2024, the company is headquartered in Bellevue, USA, with a team of 2-10 employees. The company is currently Early Stage.

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