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Google Internship Data Science Jobs in Paramus, NJ

Shaped

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help ...

Clay Labs

Data Science & Analytics Manager

New York, NY · On-site

$240K - $300K/yr

We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go ... DSA is a team of data scientists and analytics engineers that serves as the company's center of ...

Mondo

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Job Summary * MUST have direct customer analytics experience in a data science role * Direct ... Experience with BigQuery or Google Cloud Platform * Experience with dbt, Dataform, or similar data ...

Roku

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

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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 Aug 31, 2026, the average hourly pay for google internship data science in Paramus, NJ is $22.77, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.81 per hour, depending on experience, location, and employer.

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.

What types of projects does a data science intern 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.

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.

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 job categories do people searching Google Internship Data Science jobs in Paramus, NJ look for?

The top searched job categories for Google Internship Data Science jobs in Paramus, NJ are:

What cities near Paramus, NJ are hiring for Google Internship Data Science jobs?

Cities near Paramus, NJ with the most Google Internship Data Science job openings:

Google Internship Data Science jobs near you

Analytics Lead, Partner Marketing, Google Cloud

Google

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Kirkland, WA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
  • Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.) or equivalent practical experience.
  • 9 years of experience as a data analyst or data scientist using statistical techniques and quantitative modeling.
  • 7 years of experience analyzing data sets using SQL.
  • Experience developing data visualizations.

Preferred qualifications:
  • Experience collaborating with cross-functional stakeholders to drive consensus on technical data requirements, including strategic data direction, ad-hoc analysis, or development of new data pipelines.
  • Experience working with first and third-party martech systems, integration points for data, building Extract Transform Load (ETL) pipelines.
  • Experience presenting complex data analyses as easy to understand insights to leadership, with the ability to represent and influence discussions involving quantitative concepts and data-based stories.
  • Experience architecting scalable dashboards and reporting suites, statistically sound measurement frameworks.
  • Familiarity with Business-to-Business and Partner marketing data.

About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $180000 - $261000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Guide partner marketing analytics strategy, collaborating with cross-functional and executive leadership to establish performance measurement frameworking and business reporting.
  • Integrate complex, multi-source data to build user-friendly dashboards and recurring reports, providing high-level insights and segmented, investigative analyses that drive key business decisions.
  • Uncover actionable insights that expose operational opportunities, directly informing strategic changes to enhance customer usage and engagement across Google Cloud products.
  • Apply statistical methods to solve complex business problems, supporting the end-to-end design and implementation of A/B, multivariate, and causal inference testing.
  • Serve as a technical authority in end-to-end data extraction, complex manipulation, interactive data visualization, and advanced data mining techniques.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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