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

Apex Systems

Data Scientist-Agentic AI

Woonsocket, RI · On-site

Apply advanced analytics, decision science, and generative AI to build intelligent products ... Familiarity with Vertex AI and Google Cloud Platform, or equivalent enterprise AI platforms, is ...

Apex Systems

Senior Data Engineer-PBM

Woonsocket, RI · On-site

$109K - $131K/yr

Collaborates with data science team to define and build datasets for training of analytic data ... Experience leveraging Cloud Technologies (Google Cloud Platform Preferred, AWS, Azure) for ETL and ...

IntraEdge

Sr. Engineer - Backend

Woonsocket, RI · On-site

... Google Cloud Platform (GCP) . A working understanding of Large Language Models (LLMs) and AI ... Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI ...

IntraEdge

Sr. Engineer - Backend

Woonsocket, RI · On-site

... Google Cloud Platform (GCP) . A working understanding of Large Language Models (LLMs) and AI ... Collaborate with data science and product teams to incorporate pre-trained LLMs (e.g., OpenAI ...

Waters Corporation

Sr Digital & Marketing Analyst

Milford, MA · On-site

$112K - $138K/yr

Bachelor's degree in Analytics, Data Science, Statistics, Economics, Business, Marketing, Computer ... Hands-on experience with digital analytics platforms such as Google Analytics, Adobe Analytics ...

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All JobsGoogle Data Science JobsGoogle Data Science Jobs in Worcester, MA

Google Data Science information

See Worcester, MA salary details

$25.1K

$118.6K

$205.2K

How much do google data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for google data science in Worcester, MA is $118,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,733.00 and $148,908.00 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 Worcester, MA?

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

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

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

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

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

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,649 per year, or $57 per hour.

Data Scientist

Woonsocket, RI • On-site

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Indotronix International Corporationexternal

Full-time, Contractor

Posted 15 days ago

Job description

Senior Data Scientist - Call Center Innovation Lab (Remote, Contract to Hire)
About the Role
Join our fast-paced Call Center Innovation Lab as a Senior Data Scientist and drive large-scale transformation in customer experience and digital self-service across Aetna. You'll work remotely, collaborating with passionate teams to extract actionable insights from call transcripts and unstructured data using the latest NLP, LLMs, and transformer models. This is a unique opportunity to shape enterprise-wide solutions, expand model coverage, and play a pivotal role in building scalable frameworks that directly impact business outcomes.
Responsibilities
- Lead full-cycle development of AI models: from raw text data analysis to model building, training, and iterative refinement.
- Analyze call center interactions to uncover service drivers, efficiency gaps, and digital self-service opportunities.
- Apply NLP, LLMs, and GenAI techniques to extract insights from large-scale call transcripts and related text data.
- Design, implement, and evaluate pilots, experiments, and quasi-experiments to quantify business impact.
- Translate complex analytics into clear, actionable recommendations for both technical and senior business stakeholders.
- Collaborate with cross-functional teams, including Digital SMEs and Data Engineering partners, to operationalize analytical outputs into dashboards and reusable assets.
- Synthesize stakeholder requirements and clearly communicate model capabilities, ROI, and business value.
- Expand existing solutions to support multiple business lines and develop new model types to extract novel insights.
Required Skills and Experience
- Minimum 3 years in data science, advanced analytics, or similar roles with end-to-end model delivery experience.
- Hands-on proficiency in SQL and Python for analysis and modeling.
- Deep expertise with NLP, LLMs, or GenAI applied to text/conversational data (call transcripts, chat logs).
- Experience designing and analyzing experiments, pilots, or A/B tests, converting results into business actions.
- Demonstrated strength in developing scalable analytical assets (frameworks, dashboards, scorecards).
- Excellent communication skills for translating technical outcomes into business value for diverse audiences.
- Proven ability to work independently and cross-functionally in dynamic, fast-moving environments.
- Familiarity with version control systems (e.g., Git) and modern data workflows.
Preferred Skills
- Experience with call center, virtual assistant, or contact center data.
- Familiarity with Google Cloud Platform (GCP), Vertex AI, or equivalent enterprise AI platforms.
- Background in digital, customer interaction, or call center analytics.
- Ability to clearly articulate technical tradeoffs and business impact to senior leadership.
- Master's degree in Computer Science, Engineering, Analytics, Statistics, or related quantitative field.
Benefits
- Remote, flexible work environment with leading-edge AI projects.
- Direct impact on digital transformation at enterprise scale.
- Opportunity to expand AI/ML skills with advanced NLP and LLMs.
- Collaborative culture with high visibility to business and technical leadership.
- Contract to hire - potential pathway to full-time employment with a Fortune 500 organization.
How to Apply
Ready to drive innovation and build the next generation of AI-powered solutions? Submit your application with your updated resume detailing relevant experience in NLP, LLMs, and data science. We are seeking independent, impact-driven professionals eager to make a measurable difference. Background check and drug screening required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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