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Google Data Science Jobs in Boston, MA (NOW HIRING)

Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads. * Software ... Job Title Data Science and AI Intern - RTP 2027 Date posted 24-Aug-2026 Job ID 129906 City ...

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

We bridge the gap between complex cloud data platforms like Snowflake, Databricks, and Google ... data scientists, and emerging AI agents use to build data products on AtScale. The Impact You'll ...

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

Leading end-to-end deployment of log ingestion pipelines using data fabric technologies and ... Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or another technical ...

Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

Showing results 21-40

Google Data Science information

See Boston, MA salary details

$26.2K

$124.1K

$214.6K

How much do google data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for google data science in Boston, MA is $124,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,217.00 and $155,758.00 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 popular job titles related to Google Data Science jobs in Boston, MA?

For Google Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Boston, MA look for?

The top searched job categories for Google Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Google Data Science jobs?

Cities near Boston, MA with the most Google Data Science job openings:

Infographic showing various Google Data Science job openings in Boston, MA 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 $124,107 per year, or $59.7 per hour.

Data Science and AI Intern - RTP 2027

IBM

Boston, MA • On-site

$66 - $122/hr

Other

Posted 7 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

124th of 247 rated software companies


Job description

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk

Your role and responsibilities

We are seeking a motivate Intern to join our AI and Data Science development team. In this role, you will contribute to the design, development, and implementation of AI solutions, while also supporting the integration and performance of these systems. You will also look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. You’ll work closely with engineering, support, and senior developers to ensure AI models are robust, scalable, and aligned with business needs; and helping to create predictive models, generate insights and help optimize company performance. This is a hands-on technical role ideal for someone passionate about AI and eager to grow their skills in both development and systems-level implementation.

Required education

High School Diploma/GED

Required technical and professional expertise
  • Programming Proficiency: Solid understanding of Python and/or another programming language commonly used in AI (e.g., Java, C++, or R).
  • Mathematics & Statistics: Foundational knowledge in linear algebra, calculus, probability, and statistics.
  • Machine Learning Basics: Familiarity with core ML concepts such as supervised and unsupervised learning, model evaluation, and overfitting.
  • Data Handling: Experience working with data using libraries like NumPy, pandas, or similar.
  • Version Control: Basic understanding of Git and collaborative development workflows.
  • Communication: Ability to clearly articulate technical concepts and collaborate effectively in a team environment.
Preferred technical and professional experience
  • Deep Learning Frameworks: Exposure to TensorFlow, PyTorch, or JAX.
  • AI Project Experience: Prior coursework, personal projects, or research involving AI/ML.
  • Cloud Platforms: Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads.
  • Software Engineering Practices: Understanding of testing, debugging, and code optimization.
  • Visualization Tools: Experience with tools like Matplotlib, Seaborn, or Plotly for data visualization.
  • Knowledge of AI Ethics: Awareness of fairness, bias, and responsible AI development practices.
ABOUT BUSINESS UNIT

IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future.Join us to help build our leading-edge technology portfoliodesigned for cognitive business and optimized for cloud computing.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Data Science and AI Intern - RTP 2027

Date posted

24-Aug-2026

Job ID

129906

City / Township / Village

RESEARCH TRIANGLE PARK, DURHAM

State / Province

North Carolina

Country

United States

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

66,600.00

Projected Maximum Salary per year

122,100.00

Position type

Internship

No Travel

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

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What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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