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Google Internship Data Science Jobs in Portland, OR

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Data Science Track Google Certified Professional Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Data Science Track Google Certified Professional Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

... experience, internship experience and / or schoolwork/classes/research. The preferred ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

Intel

Data Scientist/Statistician

Hillsboro, OR · On-site

$116K - $228K/yr

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Pwc

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

... 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 ...

Deloitte

Cyber - SecOps - Consultant

Portland, OR · On-site

... data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS Security Lake, Google ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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All JobsGoogle Data Science JobsGoogle Internship Data Science JobsGoogle Internship Data Science Jobs in Portland, OR

Google Internship Data Science information

See Portland, OR salary details

$12

$23

$44

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

As of Aug 6, 2026, the average hourly pay for google internship data science in Portland, OR is $23.87, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $26.01 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.

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 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 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 Portland, OR? For Google Internship Data Science jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Portland, OR look for? The top searched job categories for Google Internship Data Science jobs in Portland, OR are:
What cities near Portland, OR are hiring for Google Internship Data Science jobs? Cities near Portland, OR with the most Google Internship Data Science job openings:
Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in Portland, OR 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,641 per year, or $23.9 per hour.

Data Scientist

AZAD Technology Partners

Vancouver, WA • Hybrid

$65 - $70/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago

Job description

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission Infrastructure Asset Management organization on the Strategy and Planning team. This assignment will provide support for projects under the program by providing analytical expertise for planning, development, integration, and implementation of asset management technologies, methods, and standards for interim and long-term solutions to manage risk and spend efficiency on the facility's transmission system. This assignment will analyze, process and model data and interpret the results to develop data-driven solutions.

This is a 2 year plus consultant position with high probability of long term and ongoing continued employment. This position is hybrid based in Vancouver, WA with onsite 3 days per week (Tuesday, Wednesday and Thursday). The hourly pay rate for this position is between $65.00 and $70.00 depending on related qualifications and experience, as well as composition of selected compensation package.

The ideal candidate must possess the minimum qualifications:

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods is required:
With a Master's degree, 7 years' of hands-on experience performing the following is required
With a Bachelor's degree, 9 years' of experience is required:
Manipulating data sets, querying databases, and building statistical models
Statistical or data mining techniques
Using Web Services
Analyzing data from 3rd party users
Developing data models and algorithms
Creating and using advanced machine learning algorithms and statistics
Knowledge and understanding of financial analysis/budgeting, risk analysis, probability and statistics, and electric utility operations
With a Bachelor's degree, at least 10 graduate credits in computer science algorithms, statistics, software design, or data management OR one of the following Data Science Certifications or similar are also required:
Certified Analytics Professional (CAP)
Data Science Council of America (DASCA) Senior Data Scientist (SDS)
Data Science Council of America (DASCA) Principle Data Scientist (PDS)
Dell EMC Data Science Track
Google Certified Professional Data Engineer
Google Advanced Data Analytics Certificate for Machine Learning
IBM Data Science Professional Certificate
Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis:
Probability and Statistics: including stochastic processes, classical inference techniques, maximum likelihood estimation, Bayesian methods, Monte Carlo, and bootstrapping.
Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods.
Supervised Learning (e.g., regression techniques, regularization techniques, ridge regression, ensemble methods, optimization through linear programming and convex optimization, nonlinear programming).
Unsupervised Learning (e.g., clustering techniques, hierarchical clustering, dimensionality reduction, principal component analysis).
Time Series Analysis.
Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R. Demonstrated knowledge of distributed or parallel processing techniques used in the analysis and processing of large data sets.
Skill in discerning the strengths and weaknesses of various best-practice quantitative solutions for a given real-world problem and skill in developing new quantitative approaches to cater to particular features as needed when standard assumptions are inappropriate.
Using considerable judgment, proven ability to take vague or broadly defined goals or business objectives and translate them to questions that can be answered or problems that can be addressed via data driven analysis.
Demonstrated ability to communicate and present proposals, findings, and recommendations, both written and orally, to senior staff, management and executives and to external parties (e.g., representing BPA regionally such as to key stakeholders, customers, industry organizations, or regulators).
Valid U.S. Driver's License or RealID is required.

Preferred Skills:

Knowledge of GIS and Asset Management Systems.
Experience with R software product(s).
Energy/utility industry experience.
Experience with Power BI (Microsoft Business Intelligence).



AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the challenges associated with solving the most complex problems by utilizing the most sophisticated technologies and strong people skills.

Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting Services to Fortune 500 and innovative firms since 1992.
AZAD's model provides a unique employment experience that is career path focused, relationship based and dedicated to advocacy and retention with an average tenure of 9 years.
Our collaborative approach to support our clients, projects and supporting our employees' career paths are the keys to our success. Join AZAD's professional team and enhance your career by being engaged with some of the most interesting projects in the Pacific Northwest.
If you enjoy working in such an environment, we encourage you to apply.
EXCELLENT EMPLOYEE BENEFITS including Co-paid Medical, Dental and Vision Insurance, Cafeteria Plan, Paid Sick Leave, 401K Plan, Credit Union Membership, and Referral Bonus.
U.S. Citizens only for Federal Clearance Requirement.

AZAD values diversity - in backgrounds and in experiences.
Since our inception, we have witnessed how our diverse workforce has thrived while contributing to the increases in innovation and advancements in the client organizations we serve.
AZAD is committed to Diversity, Equity & Inclusion and is striving to build an even more diverse, inclusive team that reflects the people and communities where we live and work.
AZAD, Inc. is an equal opportunity employer that considers and employs qualified individuals based upon job related qualifications regardless of race, color, sex, religion, creed, physical or mental disability, veteran's status, sexual orientation, national origin, age or any other status protected under applicable local, state or federal law. AZAD takes affirmative action to employ and advance in employment qualified employees and applicants who are disabled, disabled veterans, recently separated veterans, Armed Forces services medal veterans, and other protected veterans.
AZAD, Inc. is a Certified Minority Owned Business and OFCCP compliant.