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

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

... Google Cloud Platform. • Experience with automation processes for repetitive tasks and high ... in data science. • Hands-on experience in commercial settings with a proven track record of ...

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Everything you would expect on a world-class data science team solving world-class problems. Big ... Familiarity with SQL, Relational databases, and cloud environments like AWS/Azure/Google/Databricks

Data Scientist

Boston, MA · On-site

$123K - $129K/yr

Employer will accept a Master's degree in Computer Science, Data Science, Engineering, Marketing ... Google Cloud platforms for data engineering and data cleansing techniques to ensure quality. 4. ...

Data Scientist

Boston, MA · Hybrid

$123K - $129K/yr

Employer will accept a Master's degree in Computer Science, Data Science, Engineering, Marketing ... Google Cloud platforms for data engineering and data cleansing techniques to ensure quality.4. ...

Lead Data Scientist

Boston, MA · On-site

$112K - $172K/yr

We're looking for rigorous analytic training and 7+ years professional experience in a data science ... ChatGPT, Google Gemini, DALL • E, Midjourney) is a plus, especially for tasks like ideation ...

Lead Data Scientist

Boston, MA · On-site

$112 - $172/hr

We're looking for rigorous analytic training and 7+ years professional experience in a data science ... ChatGPT, Google Gemini, DALL · E, Midjourney) is a plus, especially for tasks like ideation ...

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 ...

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Google Data Science information

See Cambridge, MA salary details

$26.3K

$124.4K

$215.2K

How much do google data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for google data science in Cambridge, MA is $124,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,426.00 and $156,169.00 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 Cambridge, MA?

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

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

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

Infographic showing various Google Data Science job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $124,434 per year, or $59.8 per hour.

Senior Data Science Engineer

Cambridge, MA • On-site

Saviance
IT Services • 201 - 500 employees

$126K - $151K/yr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Saviance is a technology consulting firm specializing in data analytics and machine learning solutions. As a Senior Data Science Engineer, you will leverage radar data to drive strategic decisions, design data pipelines, and develop predictive models while collaborating with engineering teams to ensure seamless integration of radar processing algorithms.
Responsibilities:
• Data Pipeline Development: Design and implement robust data pipelines tailored to radar data, including the processing, cleaning, and transformation of raw radar signals.
• Exploratory Data Analysis: Conduct exploratory data analysis to extract insights specific to radar data, focusing on target detection, tracking, and classification.
• Data Visualization: Explore, visualize, and identify patterns, trends, and relationships within radar data, providing actionable insights to stakeholders through publication-quality visualizations.
• Predictive Modeling: Develop predictive models to support business initiatives, integrating radar data with other data sources for comprehensive solutions.
• Collaboration: Work closely with DSP and Client engineers to ensure the seamless integration of radar data processing algorithms into existing systems.
• Industry Knowledge: Stay current with industry trends and best practices in radar data analysis, continuously enhancing the organization's capabilities.
• Communication: Clearly communicate technical concepts and progress across teams, ensuring alignment with broader company goals.
• Documentation: Develop and maintain documentation for design specifications, test plans, and user manuals.
Qualifications:
Required:
• Proficiency in programming languages such as Python, R, or Matlab.
• Experience with radar data processing techniques and tools.
• Strong understanding of statistical methods and machine learning algorithms.
• Fluency in data science tools like NumPy/Scikit-learn and cloud services such as Google Cloud Platform.
• Experience with automation processes for repetitive tasks and high-compute time activities.
• Solid understanding of software development methodologies and version control systems.
• Strong analytical and problem-solving skills with a focus on system-level performance optimization.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and within a team environment.
• A Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
• 8+ years of relevant experience in data science.
• Hands-on experience in commercial settings with a proven track record of success.
• Full life cycle experience with an electronics product that has achieved commercial success is highly desirable.
Preferred:
• Knowledge of RF engineering principles and practices.
• Experience with radar hardware and systems.
• Familiarity with radar data visualization techniques and tools, such as waterfall plots, range-Doppler maps, or ParaView.
• Understanding of radar-specific data formats and protocols.
• Experience with radar data simulation and modeling.
• Machine learning experience, particularly in applying Client techniques to radar signal processing tasks.
• Experience with radar-to-image projection, image segmentation, video object detection, or target detection in radar signals.
• Proficiency in implementing and optimizing data augmentation techniques to enhance model performance and robustness.
• Preference for candidates with experience in startups or fast-paced environments, particularly those with exposure to ambient sensing and sensor fusion technologies.
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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