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Manager Data Scientist Jobs in Portland, OR (NOW HIRING)

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

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 ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

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 ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

The Data Science & Analytics team builds technical solutions to manage the marketplace and optimize the supply chain. Using big data, advanced analytics, and innovative technology, we strive to ...

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Manage full life cycle of projects * Collaborate with Data Engineers to validate source data and ...

Data Scientist 4

Tualatin, OR · On-site

$120 - $180/hr

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... This individual will partner with the Field/Factory Business Process Quality Manager, Global ...

... science, statistics, or a related quantitative field . This role will be responsible for ... Data Management Quality * Query, clean, transform, and validate data from multiple systems and data ...

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are ...

AI Scientist Senior II

Portland, OR · On-site

$150 - $190/hr

Manage end‑to‑end lifecycle: data engineering, model development, MLOps, responsible AI governance, and continuous monitoring in production. Qualifications • Master's or PhD in Computer Science ...

Manage and develop a team of data scientists, balancing team development, delivery priorities, and ... long-term capability building. * Monitor solution performance, user feedback, data quality, model ...

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Manager Data Scientist information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do manager data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager data scientist in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Portland, OR?

The most popular types of Data Scientist jobs in Portland, OR are:

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

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

Infographic showing various Manager Data Scientist job openings in Portland, OR as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $175,003 per year, or $84.1 per hour.

$90 - $96/hr

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Re-posted 18 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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