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Volunteer Machine Learning Jobs in Oregon (NOW HIRING)

BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... While you'll leverage statistical and machine learning models, success in this role is defined by ...

Solid understanding of fundamentals in software engineering, statistics and machine learning ... Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at ...

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

BECU Cares volunteer time off + donation match IMPACT YOU'LL MAKE: As a Sr. AI Software Engineer ... From integrating machine learning models and generative AI services to guiding best practices and ...

$66.25 - $80/hr

Strong understanding of AI, machine learning, intelligent automation, enterprise data architecture ... Have fun and celebrate and give back - Team building activities, community volunteering, quarterly ...

Lead Data Scientist

OR · On-site +1

... machine learning modeling, and structured analysis. Success requires the ability to connect ... Health benefits effective day 1 * Paid time off, holidays, volunteer time and jury duty pay

Lead Data Scientist

OR · On-site +1

... machine learning modeling, and structured analysis. Success requires the ability to connect ... Health benefits effective day 1 * Paid time off, holidays, volunteer time and jury duty pay

Lead Data Scientist

OR · On-site +1

... machine learning modeling, and structured analysis. Success requires the ability to connect ... Health benefits effective day 1 * Paid time off, holidays, volunteer time and jury duty pay

Expertise building predictive models using regression and machine learning techniques * Ability to ... Paid sick, personal, and volunteer leave * 15 weeks paid parental leave * Professional development ...

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Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for volunteer machine learning in Oregon is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $21.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Volunteer Machine Learning position, and why are they important?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a Volunteer Machine Learning job?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Volunteer Machine Learning jobs in Oregon? For Volunteer Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Oregon look for? The top searched job categories for Volunteer Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Volunteer Machine Learning jobs? Cities in Oregon with the most Volunteer Machine Learning job openings:
Sr Business Data Scientist, Marketing Analytics

Sr Business Data Scientist, Marketing Analytics

BECU

OR • On-site, Remote

$91K - $169K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


BECU rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz


Job description

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?
Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.
While we're proud of our history, we're even more excited about our future. With business and technology transformation on the horizon, there's never been a better time to be part of BECU.

PAY RANGE

The Target Pay Range for this position is $117,200.00-$143,200.00 annually. The full Pay Range is $91,000.00 - $169,400.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

BENEFITS - because people helping peoplestarts with supporting you

  • 401(k) Company Match (up to 3%)

  • 4% annual contribution to your 401(k) by BECU

  • Medical, Dental and Vision (family contributions as well)

  • PTO Program + Exchange Program

  • Tuition Reimbursement Program

  • BECU Cares volunteer time off + donation match

To join our dynamic team, we require candidates to be residents of WA, CA, VA, NC, OR, ID, AZ, TX, GA, or SC. If you're located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays & Wednesdays.For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment.

IMPACT YOU'LL MAKE

As a Senior Data Scientist, Marketing Analytics at BECU, you'll serve as a strategic partner to Marketing-helping translate business challenges into data-driven solutions that influence decisions, optimize performance, and drive measurable results.

This role is deeply business-facing. You'll work side-by-side with stakeholders to define problems, design analytical approaches, and guide decisions through data. While you'll leverage statistical and machine learning models, success in this role is defined by your ability to connect those solutions to real business outcomes and adoption.

WHAT YOU'LL DO

  • Partner with Marketing to Define and Solve Problems - Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels.

  • Design and Deliver Data-Driven Solutions - Apply statistical analysis and machine learning to develop solutions that address business needs, then present findings, influence decisions, and gain alignment on adoption.

  • Lead Experimentation and Optimization - Develop and manage testing frameworks (A/B testing, campaign experimentation) across channels and markets. Analyze results and provide clear recommendations to improve performance and inform future strategy.

  • Translate Results into Business Impact - Clearly communicate insights and quantify outcomes (e.g., campaign performance lift, engagement improvements, ROI) to ensure stakeholders understand the value and take action.

  • Partner to Operationalize Solutions - Collaborate with Technology and Engineering teams to transition validated models into production, supporting implementation through scalable pipelines and processes.

  • Influence Through Storytelling - Present insights and recommendations to both technical and non-technical audiences, including senior stakeholders, to drive alignment and decision-making.

This isn't just about ticking off tasks on a list. It's about making a significant, positive change in BECU's journey, where your contributions are valued, and your growth is continually fostered.

WHAT YOU'LL GAIN

  • The opportunity to become a trusted advisor to Marketing leaders, influencing strategy - not just delivering analysis

  • The ability to see your work translate into real improvements in campaign performance and business outcomes

  • Experience driving adoption and action, ensuring your models and insights are used - not just built

  • Ownership of experimentation strategies that shape optimization across channels and markets

  • The chance to guide decisions by answering what matters most: "What should we do differently based on this?"

QUALIFICATIONS

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field, or an equivalent combination of education and professional experience.

  • Minimum 5 years of experience in data science or analytics, with a strong focus on business-facing problem solving and proven experience partnering with business teams (preferably Marketing) to translate needs into analytical solutions

  • Experience building and applying statistical, machine learning models in real-world business contexts, and designing and analyzing experiments (A/B testing, campaign optimization, or similar frameworks)

  • Strong communication skills with the ability to present insights and influence decisions across non-technical stakeholders

  • Proficiency in Python, R, and SQL

Desired Qualifications

  • Advanced degree (Master'sor PhD) in a quantitative discipline preferred.

  • Experience working within financial services or regulated industries.

  • Experience with cloud platforms such as AWS, Azure, or GCP.

  • Experience withMLOpstools such asMLflow, Airflow, Kubeflow, or similar frameworks.

  • Familiarity with BI tools such as Tableau or Power BI and marketing analytics platforms such as Salesforce Marketing Cloud or Google Analytics.

  • Experience designing systems for large-scale data processing (e.g., Snowflake, BigQuery, Redshift, Spark)

JOIN THE JOURNEY

Ready to make an indelible impact? Eager to be part of a collaborative and innovative team where your ideas and contributions don't just fill a role but fuel the growth and success of BECU? This is more than a job - it's a chance to elevate your career, skills, and future, all while contributing to the robust operational landscape of BECU.

Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let's achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now. #BECU #YourGrowth #BECUJourney

EEO Statement:


BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.


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