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New Grad Data Scientist Jobs in Portland, OR (NOW HIRING)

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ... developing new quantitative approaches to cater to particular features as needed when standard ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... developing new quantitative approaches to cater to particular features as needed when standard ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... developing new quantitative approaches to cater to particular features as needed when standard ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Develop our understanding of new data sources and how they may improve our existing processes and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Develop our understanding of new data sources and how they may improve our existing processes and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Develop our understanding of new data sources and how they may improve our existing processes and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Develop our understanding of new data sources and how they may improve our existing processes and ...

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. About the role: We're looking for Data Scientists to join our team. In this role, you ...

Data Scientist I or II DIVISION: Metrology and Analysis Systems Division (MAD) COMPANY: Hitachi ... Ability to investigate and apply new technologies * Effective oral and written communication skills ...

Collaborate with engineering, product, and data science teams to understand requirements ... Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ...

Collaborate with engineering, product, and data science teams to understand requirements ... Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ...

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... new employee's Form I-9 to confirm work authorization. For more information, please review the ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred ... new employee's Form I-9 to confirm work authorization. For more information, please review the ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... new employee's Form I-9 to confirm work authorization. For more information, please review the ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... new employee's Form I-9 to confirm work authorization. For more information, please review the ...

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Showing results 1-20

New Grad Data Scientist information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do new grad data scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for new grad data scientist in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Portland, OR?

For New Grad Data Scientist jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Portland, OR look for?

The top searched job categories for New Grad Data Scientist jobs in Portland, OR are:

What cities near Portland, OR are hiring for New Grad Data Scientist jobs?

Cities near Portland, OR with the most New Grad Data Scientist job openings:

Infographic showing various New Grad Data Scientist job openings in Portland, OR as of August 2026, with employment types broken down into 94% Full Time, 3% Contract, and 3% Nights. Highlights an 83% In-person, 3% Hybrid, and 14% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Data Scientist

Vancouver, WA • On-site

AZAD Technology Partners
51 - 200 employees

$90 - $96/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Job description

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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:

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 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.

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.

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.

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