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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 ...

New

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

... 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 Aug 20, 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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $118,649 per year, or $57 per hour.

Senior Data Scientist (Remote)

LG Energy Solution Michigan, Inc.

Westborough, MA • On-site

Other

Re-posted 12 days ago

Job description

Company Overview
LG Energy Solution Vertech, Inc. (LGES Vertech) is a full-service energy storage system supplier and integrator. Using our core strengths of expert service to our customers, unparalleled safety, and excellence in manufacturing, we bring standardized, fully integrated energy storage systems to a rapidly growing worldwide market. Our systems address our customers' needs to reduce capital equipment and installation costs while enhancing system-level performance and reliability using automated monitoring systems and analytics across the battery, power conditioning, and auxiliary systems. Our AEROS energy operating system is the engine of innovation to provide advanced control functions, allowing our customers to maximize the value of their energy storage assets. Our service capabilities include advanced monitoring and analytics, scheduled maintenance, augmentation, and auxiliary system upgrades. The combination of excellence in battery technology and production, coupled with nearly two decades of energy storage integration, makes LGES Vertech a supplier and integrator in the power and energy markets.
LGES Vertech empowers and expects its team members to assume responsibility and make good decisions while maintaining a team environment that fosters collaboration and innovation. Our diverse and growing team enjoys competitive salaries, generous benefits, and flexible working hours.
For more information about LGESVT, please visit
Position Overview
LGES-Vertech is seeking a highly motivated Senior Data Scientist to join our AI & Data Science team. This role will be a key driver in the research, design, and deployment of our Battery State Estimation algorithms. You will act as a subject matter expert, applying advanced ML/Data Science and statistical techniques to estimate the state of the BESS assets.
This is a high-impact, hands-on role for a technically deep and creative problem-solver. You will directly influence how data science enhances the commercial value, availability, and performance of our BESS(Battery Energy Storage System) fleet.
Key Responsibilities
  • Drive the end-to-end development of battery state estimation algorithms, such as State of Energy/Charge/Power/Health, all the way from initial R&D and prototyping to production deployment.
  • Utilize a deep understanding of BESS, from individual cell level physics to system level topology and state estimation metrics.
  • Design, build, and deploy AI/ML State estimation models for predicting energy availability, critical for optimal BESS trading strategies.
  • Work closely with cross-functional teams, including product, energy market analysts, engineering, and DevOps, to define requirements, integrate models into production pipelines, and deliver scalable, cloud-integrated data products.
  • Stay abreast of state-of-the-art AI/ML and deep learning techniques published in literature.
  • Lead the transition of AI/ML models from research to production, ensuring robust, scalable, and efficient software development practices.
  • Leverage expertise in efficiently handling large-scale, noisy battery data.
  • Serve as a technical resource and mentor for junior team members, contributing to the strategic technical roadmap for the AI/Data Science team.

Job Requirements
Required Qualifications:
  • Master's degree in Computer Science, Data Science, Electrical Engineering, Physics or a related quantitative discipline.
  • 5+ years of experience in data science or applied ML, with at least 3 years industry experience.
  • Strong Python development skills, including production-grade software practices and modular codebases.
  • Deep understanding of machine learning (supervised and unsupervised), deep learning, and statistical modeling.
  • Hands-on experience working with large-scale, imperfect datasets and tools such as Polars, Pandas, NumPy, scikit-learn, SQL.
  • Experience with deep learning frameworks like TensorFlow, PyTorch.
  • Familiarity with cloud platforms: AWS, Azure, Google Cloud Platform, Databricks, or Snowflake.
  • Comfortable in Linux environments and with version control systems like Git.
  • Proficiency in using Jira for Agile project management.
  • Excellent written and verbal communication skills and ability to collaborate across diverse global teams.
  • Must be legally authorized to work in the U.S. without employer sponsorship.

Preferred:
  • Ph.D. in Computer Science, Data Science, Electrical Engineering, Physics or a related quantitative discipline.
  • Experience with BESS topology and Battery Management Systems (BMS).
  • Understanding of different Li-ion battery cell chemistries, such as NCM, LFP.
  • Familiarity with MLOps tools for model deployment, monitoring, and lifecycle management.
  • Familiarity with CI/CD pipelines and integrating ML models into DevOps workflows.
  • Ability to mentor junior team members and contribute to technical roadmap discussions.

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