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Google Data Science Jobs in Rhode Island (NOW HIRING)

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

In this role, you will collaborate with cross-functional teams including data scientists, analysts ... Familiarity with cloud data platforms (AWS, Azure, or Google Cloud Platform) and associated data ...

The Data Science Institute (DSI) is a high-visibility campus hub that partners with multiple ... MS Excel and Google Docs preferred * Excellent communication skills (both oral and written) to ...

... 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 ...

Martech Platform Data Lead

Johnston, RI · Hybrid

$140K - $183K/yr

... Computer Science, or a related discipline; equivalent experience considered. * 8+ years of ... AWS, Azure, or Google Cloud. * Financial services/Banking or Regulatory data experience.

Martech Platform Data Lead

Johnston, RI · Hybrid

$140K - $183K/yr

... Computer Science, or a related discipline; equivalent experience considered. * 8+ years of ... AWS, Azure, or Google Cloud. * Financial services/Banking or Regulatory data experience.

... data platforms. * Evaluate emerging Google Cloud technologies and strategic partner offerings for ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical ...

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Google Data Science information

See Rhode Island salary details

$24.5K

$115.8K

$200.3K

How much do google data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for google data science in Rhode Island is $115,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,930.00 and $145,364.00 per year, depending on experience, location, and employer.

Can a Data Scientist work in Google?

Yes, Data Scientists can work at Google, where they analyze large datasets, develop machine learning models, and use tools like Python and TensorFlow. Google typically requires relevant experience, strong analytical skills, and a background in computer science or related fields for data science roles.

How much do data scientists make at Google?

Data scientists at Google typically earn a median salary ranging from $120,000 to $160,000 per year, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for technical roles requiring skills in machine learning, programming, and data analysis.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What is a Google Data Science job?

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 most commonly searched types of Google Data Science jobs in Rhode Island? The most popular types of Google Data Science jobs in Rhode Island are:
What are popular job titles related to Google Data Science jobs in Rhode Island? For Google Data Science jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Rhode Island look for? The top searched job categories for Google Data Science jobs in Rhode Island are:
Infographic showing various Google Data Science job openings in Rhode Island as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,825 per year, or $55.7 per hour.

Data Engineer II

Textron

Providence, RI • On-site

$115K - $138K/yr

Full-time

Medical, Dental, Retirement

Re-posted 23 days ago


Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

30th of 71 rated aerospace companies


Job description

Textron is a renowned global multi-industry company with a diverse portfolio spanning aerospace and defense, specialized vehicles, turf care, and fuel systems. Our brand lineup includes leading names like Bell, Cessna, Beechcraft, E-Z-GO, Lycoming Engines and many others. With a strong worldwide presence and a workforce of 34,000 individuals across 25 countries, we prioritize attracting top talent.

Job Summary:

As a Data Engineer II, you will play a key role in architecting, developing, and optimizing robust data infrastructure that empowers the organization's data-driven initiatives. You will leverage your experience to lead complex data engineering projects, mentor junior team members, and drive continuous improvement of our data systems. In this role, you will collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to ensure the delivery of high-quality, well-governed data assets that support strategic decision-making.

Job Responsibilities:

  • Design, architect, and maintain scalable and resilient data pipelines for data ingestion, transformation, and delivery across multiple systems and platforms.
  • Optimize existing data workflows for performance, reliability, and cost-effectiveness.
  • Partner with stakeholders to gather requirements, analyze data needs, and translate business problems into effective data engineering solutions.
  • Develop, implement, and enhance data validation, quality, and testing frameworks to ensure data accuracy, integrity, and consistency.
  • Oversee the deployment and maintenance of data integration solutions, including ETL/ELT processes, real-time streaming, and batch processing.
  • Contribute to the design and implementation of data models, storage solutions, and metadata management strategies.
  • Ensure that all data systems comply with industry best practices, security guidelines, and regulatory standards.
  • Mentor and provide technical guidance to Data Engineer I team members; promote knowledge sharing and best practices within the team.
  • Troubleshoot complex data issues, identify root causes, and implement sustainable solutions.
  • Stay current with emerging technologies, tools, and trends in data engineering, recommending and adopting new approaches as appropriate.
  • Recommend ways to improve data reliability, efficiency and quality.
  • Maintain proper version control for Engineering objects in DevOps environments.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 3 years of experience in data engineering, data architecture, or related roles.
  • Proficiency in designing, building, and maintaining scalable ETL pipelines and data integration solutions.
  • Strong programming skills in Python, Java, Scala, or similar languages.
  • Solid experience with SQL and working knowledge of relational, NoSQL, and cloud-based databases (e.g., PostgreSQL, MongoDB, Snowflake, BigQuery, or similar).
  • Hands-on experience with data pipeline orchestration tools (such as Databricks, Airflow, Synapse, or similar workflow management platforms).
  • Familiarity with cloud data platforms (AWS, Azure, or Google Cloud Platform) and associated data services.
  • Strong understanding of data modeling, warehousing concepts, and performance optimization techniques.
  • Familiarity with Git, Azure DevOps or other Version Control tools in a CI/CD Data Platform.
  • Experience working with data validation, quality assurance, and testing frameworks.
  • Ability to collaborate effectively within cross-functional and Agile teams.
  • Excellent problem-solving skills, attention to detail, and a commitment to continuous learning and professional growth.
  • Ability to absorb new technology in short time frames.
  • Strong written and verbal communication skills
  • Ability to work in a fast-paced environment that has competing and alternating priorities.

At Textron, we believe that thriving at work starts with balance.

That's why we offer more than just a job-we provide a workplace where your well-being matters. Our on-site fitness center makes it easy to stay active, whether you prefer one-on-one personal training, group classes, or working out alongside your teammates.

We also offer a generous time-off package and a culture that truly values engagement. From Employee Resource Groups to fun workplace activities, there are plenty of ways to connect, grow, and make your experience here meaningful-and enjoyable.

Our team is a vibrant mix of experience levels and backgrounds, creating a supportive environment where mentorship and knowledge-sharing are part of everyday life.

And when it comes to rewards, we've got you covered:

  • Competitive total rewards package
  • Industry-leading 401(k) matching
  • Generous tuition reimbursement
  • Comprehensive health, dental, and more

Join Textron and be part of a team that's driving innovation, creativity, and collaboration-while having fun along the way!


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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923