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Postdoc Data Science Remote Jobs in Oregon (NOW HIRING)

Director, Data Engineering

OR · On-site +1

$155K - $288K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Partner with Data Science, Analytics, and business teams to align priorities and unlock the full ...

Senior Product Manager, Shopping Experience

OR · Remote

$126K - $166K/yr

You'll partner closely with design, research, engineering, data science, and go-to-market teams to ... We're a remote-friendly, fast-moving team that values clear communication, ownership, and ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Minimum Qualifications * 10+ years of professional experience in product analytics, data science ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Senior Data Engineer

OR · Remote

$120K - $160K/yr

Work cross-functionally with analysts, data scientists, software engineers, and business ... This is a remote position with less than 10% travel requirements. Occasional planned travel may be ...

Senior Data Engineer

OR · Remote

$105K - $143K/yr

... data science teams. * Advanced proficiency in Python and SQL. You are comfortable writing ... Remote

Medical Science Liaison

OR · On-site +1

$184K - $215K/yr

Communicate epidemiological, clinical and real-world data regarding pneumococcal disease and ... Remote - United States Compensation: The compensation package will be competitive and includes ...

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Director, AI Enablement

$144K - $191K/yr

Partner handson with data science, engineering, product, and operations teams to shape AI use cases ... Wellness program incentives Onboarding & Travel This is a remote role, with an in-person onboarding ...

Senior Strategic Financial Analyst - Growth

OR · Remote

$85K - $106K/yr

You'll partner closely with Product, Marketing, Business Development, and Data Science, and you'll ... This is a remote role open to candidates across the U.S. and Canada; West Coast time zone ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

Deep expertise in applying analytics and data science techniques to drive impacts in growth and ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

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Postdoc Data Science Remote information

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What is a Postdoc Data Science Remote position?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a Postdoc Data Science Remote, and why are they important?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote Postdoc Data Scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.
What are popular job titles related to Postdoc Data Science Remote jobs in Oregon? For Postdoc Data Science Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Oregon look for? The top searched job categories for Postdoc Data Science Remote jobs in Oregon are:
What cities in Oregon are hiring for Postdoc Data Science Remote jobs? Cities in Oregon with the most Postdoc Data Science Remote job openings:
Infographic showing various Postdoc Data Science Remote job openings in Oregon as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.
Director, Data Engineering

Director, Data Engineering

BECU

OR • On-site, Remote

$155K - $288K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


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 $199,300.00-$243,800.00 annually. The full Pay Range is $155,200.00 - $288,000.00 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

IMPACT YOU'LL MAKE:

The Director, DataEngineering, is responsible forleading the strategy, development, and operation of BECU's Enterprise Data Platform (EDP), enabling scalable, secure, and governed data capabilities across the organization. This role owns the end-to-end data platform, spanning data ingestion, storage, processing, and consumption to support business intelligence, analytics, and AI/ML initiatives.

The position partners closely with technology, analytics, and business leaders to drive data platform modernization, standardization, and innovation in a regulated environment, ensuring data is a trusted and strategic enterprise asset

To join our dynamic team, we require candidates to be residents of WA,OR,ID, AZ, TX or CA.Ifyou'relocatedin Washington state and within a reasonable driving distance from Tukwila, we arerequestingthat 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

WHAT YOU'LL DO:

  • Lead & Inspire Teams: Build, mentor, and empower a high-performing team of data engineers and data professionals, fostering a culture of collaboration, innovation, and continuous growth.
  • Drive Data Platform Strategy: Lead the design and delivery of modern, scalable data platforms aligned with organizational goals and long-term vision.
  • Modernize the Data Ecosystem: Guide cloud adoption and legacy system migration, including Snowflake (or similar) implementation, ensuring minimal disruption and strong data integrity.
  • Build Scalable Data Pipelines: Oversee the design and operation of batch and real-time data pipelines using modern orchestration and engineering best practices.
  • Own the End-to-End Data Platform: Lead integration across data lakes, warehouses, and access layers to enable seamless data consumption for analytics and business use cases.
  • Advance Data Governance & Quality: Ensure strong data governance, metadata management, and adherence to security, privacy, and compliance standards.
  • Champion DevOps & DataOps: Drive adoption of modern engineering practices, including CI/CD, infrastructure as code, and containerization (Docker/Kubernetes).
  • Execute the Technical Roadmap: Translate leadership vision into actionable plans and deliver measurable outcomes against key business objectives.
  • Collaborate Across the Business: Partner with Data Science, Analytics, and business teams to align priorities and unlock the full value of data.
  • Establish Best Practices: Define and implement frameworks, standards, and processes that improve efficiency, scalability, and reliability.
  • Uphold Regulatory Excellence: Ensure all work meets BECU's compliance, regulatory, and information protection requirements.
  • Develop Future Talent: Lead hiring, coaching, and career development efforts to grow strong and future-ready data organization.

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:

  • Strategic Influence: Shape enterprise-wide data strategy and drive meaningful business outcomes through modern data capabilities.
  • Leadership Impact: Lead and grow a high-performing team while fostering a culture of innovation, collaboration, and excellence.
  • Cutting-Edge Technology Experience: Work with modern cloud platforms, advanced data architecture, and AI/ML-enabled systems.
  • Enterprise Visibility: Partner with senior leaders across technology and business functions on high-impact initiatives.
  • Career Growth & Innovation: Accelerate your leadership journey while driving large-scale data transformation in a forward-thinking organization.

QUALIFICATIONS:

Minimum Qualifications:

  • Bachelor's degree in computer science, Mathematics, related technical field or equivalent.
  • Minimum seven years of management experience leading technical individuals (data engineers, data scientists, data analytics, database administrators are ideal).
  • Minimumeight years of experience in data engineering, data science,programmingand/or databases.
  • Experience working with data integrationplatforms;modern data and BI tools.
  • Knowledge and experience with iterative software development processes and continuous delivery.
  • Deepexpertisein modern data engineering platforms including cloud data ecosystems (Azure/AWS/GCP), data lakes/lake houses, Enterprise data platform architectures, and both batch and realtime data pipelines.
  • Experience with Data Governance, metadata management, data security,privacyand compliance.

Desired Qualifications:

  • Demonstratedbusiness acumen andexpertisecontributing to roadmap and strategy discussions.
  • Clientfacing experience and ability to explain complex technical components or solutions.
  • Proven ability to lead and align teams to collaboratively achieve strategic goals and deliver measurable business outcomes
  • Experienceworking in an agile environment(Scrum and Kanban)with a cross functional teamwith the ability to manage multiple priorities.
  • Familiarity with data science and machine learning methodologies and use cases.
  • Experienceworking with business leaders andmakestrategic business decisions based on insights from operational data.
  • Experience leading and building data platforms that scale andin accordance withindustry best practices.
  • Deep knowledge of industry best practices and standards to actively promote the effective and efficient use of Business Intelligence solutionstomeet managementobjectives.
  • Handson experience with data integration, modeling, and orchestration technologies, such as SQL/NoSQL databases, ETL/ELT frameworks, streaming platforms, and workflow tools.
  • Proven leadership in regulated or complex domains (financial services, banking, healthcare, or similar), with experience designing solutions that meet security, privacy, and compliance requirements.
  • Demonstrated experience in data platform modernization, including legacy system migration, cloud adoption, performance optimization, and observability/monitoring practices.
  • Solid understanding of AI/ML enablement for data platforms, including data quality, metadata management, governance, and support for analytics and AI use cases.
  • Relevant certifications preferred, such as cloud provider certifications (e.g., Azure Data Engineer, AWS Data Analytics)

JOIN THE JOURNEY:

Ready to make an indelible impact? Eager to be a 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 technological 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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