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Google Internship Data Science Jobs in Rochester, NY

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... Google Cloud) and large-scale data processing. * 1 year of experience in machine learning model ...

Data Architect

Rochester, NY · On-site

$63 - $81/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

Rochester, NY

$63.25 - $81.50/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

Digital Analyst Internships

Geneseo, NY · On-site

$95K - $112K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Digital Analyst Internships

Rochester, NY · On-site

$97K - $115K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Sr. Solutions Architect AI

Rochester, NY · On-site

$170K - $195K/yr

Lead and grow a multidisciplinary team of engineers and data scientists, acting as a "force ... or Google Professional ML Engineer). * Experience in a Professional Services or consulting ...

GCP Manager

Rochester, NY · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... Google Cloud Platform cloud services and infrastructure architecture * 8+ years of experience in ...

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

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Google Internship Data Science information

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How much do google internship data science jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for google internship data science in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Data Science Intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

Can I get a job in Google as a data scientist?

A data scientist internship at Google provides valuable experience, but securing a full-time data scientist role at Google typically requires strong technical skills in machine learning, programming (such as Python or R), and a solid educational background in a related field. Full-time positions often involve a rigorous interview process including technical assessments and behavioral interviews.

Does Google have data science internships?

Yes, Google offers data science internships for students and recent graduates interested in working on real-world projects using tools like Python, R, and SQL. These internships typically last 12 to 14 weeks and provide hands-on experience in data analysis, machine learning, and research within a collaborative environment.

What types of projects do Data Science interns typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

Is a 3.0 GPA good for internships?

For a Google Data Science internship, a 3.0 GPA is generally considered acceptable but may be below the preferred range, as competitive internships often look for GPAs of 3.5 or higher. Strong technical skills, relevant coursework, and project experience can also significantly impact your application. GPA is one factor among others like coding ability, problem-solving skills, and internships or projects in data science.

What is a Google Internship in Data Science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

Is 30 too late for data science?

Age is not a strict barrier for a data science internship or career; many professionals transition into data science later in life. Success depends on relevant skills such as programming, statistics, and tools like Python or R, as well as a strong portfolio and continuous learning. Employers value experience and skills over age, making it possible to start or switch to data science at 30 or older.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What are popular job titles related to Google Internship Data Science jobs in Rochester, NY? For Google Internship Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Rochester, NY look for? The top searched job categories for Google Internship Data Science jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Google Internship Data Science jobs? Cities near Rochester, NY with the most Google Internship Data Science job openings:
Infographic showing various Google Internship Data Science job openings in Rochester, NY as of June 2026, with employment types broken down into 5% As Needed, 72% Full Time, 15% Part Time, and 8% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.
Sustainability Data & Reporting Analyst

Sustainability Data & Reporting Analyst

Cooper Companies

Victor, NY

$71K - $95K/yr

Full-time

Posted 3 days ago


Job description

At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.

  • This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)
  • This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance

Job Summary: 

The Sustainability Data & Reporting Analyst (hereafter "the role") supports the collection, structuring, and reporting of sustainability-related data across the organization. This role focuses on improving the accuracy, consistency, and timeliness of environmental data used for internal reporting and external disclosures.

Knowledge, Skills and Abilities:

Required:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)
  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.
  • Strong analytical and problem-solving skills with the ability to work with structured and unstructured data
  • Hands-on experience with data visualization tools such as Tableau (required)
  • Proficiency in Microsoft Excel, including data manipulation and analysis
  • Foundational understanding of data structures, data flows, and data governance principles
  • Strong attention to detail, particularly when working with data accuracy and transformation
  • Experience working across multiple systems and identifying relevant data sources (e.g., ERP, financial, or operational systems) to support data analysis and reporting
  • Comfortable operating in a dynamic environment with evolving data requirements and changing business needs
  • Strong verbal and written communication skills, with the ability to explain data concepts to non-technical stakeholders
  • Demonstrated ability to manage multiple tasks and priorities in a fast-paced environment
  • Capable of working independently once priorities are defined, with a proactive approach to problem-solving

Preferred

  • Familiarity with sustainability, environmental science, or ESG reporting concepts (e.g., Scope 1, 2, 3)
  • Exposure to product, packaging, or material data within enterprise or ERP systems
  • Exposure to ERP systems (e.g., Oracle, SAP, Baan) and understanding of how transactional data is structured and sourced
  • Understanding of data quality challenges related to sustainability or regulatory reporting
  • Experience using SQL, Python, or similar tools for data analysis or preparation
  • Experience working with large or complex datasets across multiple systems
  • Familiarity with enterprise systems or data pipelines
  • Internship or academic project experience involving real-world data analysis

Work Environment 

  • This is an on-site position requiring regular in-office attendance (5 days a week) in Victor, NY.
  • Standard office environment with regular computer-based work. May include prolonged periods of sitting and working with data across multiple systems

Experience:

  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.

Education:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. 

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $71,971.00 and $95,961.00 per year and may include cost of living adjustments.  The actual base pay includes many factors and is subject to change and modification in the future.  This position may also be eligible for other types of compensation and benefits.

#LI-AK1

  • Collect, consolidate, and validate sustainability-related data from multiple internal systems, ensuring consistency, accuracy, and alignment to reporting requirements
  • Work with IT to support data integration, transformation, and flow into reporting systems
  • Support the preparation and maintenance of standardized data templates and assist in transforming data into formats required for sustainability reporting systems
  • Support the delivery of accurate and timely sustainability reporting aligned to internal and external requirements
  • Assess and validate that evolving sustainability data requirements (e.g., regulatory changes, transition from estimated to actual data) are supported by existing data structures and reporting systems
  • Support and coordinate user acceptance testing (UAT) activities, ensuring sustainability data outputs are aligned with business requirements and validated prior to reporting and downstream use
  • Identify and resolve data quality issues (e.g., inconsistencies, missing data, and unit conversions) and document data sources, processes, and assumptions to support transparency and audit readiness
  • Support the ongoing monitoring and validation of sustainability data, helping ensure quality issues are identified and resolved proactively to maintain audit readiness and reporting accuracy
  • Collaborate with cross-functional teams (e.g., EHS, IT, procurement, facilities, packaging engineering, and operations) to understand data sources and improve data collection, traceability, and consistency
  • Support efforts to improve and automate sustainability data collection processes to reduce manual effort and increase scalability
  • Support the collection, structuring, and validation of packaging and material composition data required for emerging regulatory requirements (e.g. EPR, recyclability, plastics disclosure)
  • Assist in mapping sustainability and packaging-related data to evolving regulatory and reporting requirements across global jurisdictions
  • Support the development of scalable data structures and governance processes for sustainability data
     

Travel Requirements:

  • Occasional domestic and international travel may be required (5-10%+ annually)
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