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Remote Data Science Jobs in Oregon (NOW HIRING)

Qualifications: * 5-8+ years in data science, applied ML, or statistics, shipping production models. * Retention/churn depth: churn prediction, survival / time-to-event modeling, and lifecycle-state ...

Responsibilities Apply modeling and machine learning techniques to business problems at the intersection of product and data science Autonomously identify and pursue research with significant ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Data Scientist

OR · On-site +1

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

Data Scientist

OR · On-site +1

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the ...

Data Scientist

OR · On-site +1

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the ...

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 ...

Senior Product Manager, Shopping Experience

OR · On-site +1

$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 ...

Machine Learning Scientist 5 - Ad Ranking

OR · On-site +1

$466K - $750K/yr

The Ad Ranking team within the Ads Data Science and Engineering organization is the central intelligence driving ad personalization at Netflix. The team is responsible for enhancing ad quality and ...

Senior Product Manager, AI

OR · On-site +1

$126K - $166K/yr

Partner with engineering and data science to scope experiments, manage backlogs, define KPIs and ... Remote

Data Analyst

OR · On-site +1

You have 3-5+ years of experience in data analytics , with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment ...

Data Analyst

OR · On-site +1

You have 3-5+ years of experience in data analytics , with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment ...

Act as a subject matter expert on oncology disease states, clinical data, and the broader ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

Showing results 41-60

Remote Data Science information

See Oregon salary details

$23.4K

$104.3K

$199K

How much do remote data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data science in Oregon is $104,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,860.00 and $144,624.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Oregon?

The most popular types of Data Science jobs in Oregon are:

What job categories do people searching Remote Data Science jobs in Oregon look for?

The top searched job categories for Remote Data Science jobs in Oregon are:

What cities in Oregon are hiring for Remote Data Science jobs?

Cities in Oregon with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Oregon as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,269 per year, or $50.1 per hour.

Staff Data Scientist, Marketing Inference

BetterHelp

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday


BetterHelp rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there - as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.


As a Staff Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day - with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for a Staff Data Scientist to help us scale and increase our impact. You will use cutting-edge methods to optimize our marketing efforts. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be contributing to efforts in marketing inference, including our Marketing Mix Model and Attribution.

What will you do?
  • Get insight from an enormous amount of data, and take a proactive role partnering with the marketing team in finding and testing data-driven ideas for improving our efficiency.
  • Contribute to the development, implementation, and maintenance of our marketing models, including a Bayesian Marketing Mix Model and a Multi-Touch Attribution model.
  • Monitor and analyze marketing uplift tests with statistical rigor, present the data and insights to the team, and drive marketing decisions.
  • Look at complex problems and come up with testable models and algorithms that have measurable business impact.
  • Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives.
What will you NOT do?
  • You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
  • You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
  • You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
  • You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.
Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements
  • BSc/MA in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering
  • At least 5-8 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets
  • Expertise in statistics, especially as it relates to hypothesis testing and experiment design
  • Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data
  • Experience building predictive models and causal inference models
  • Experience analyzing large and complex data sets to drive business insights and decisions
  • Expertise in using tools like R and Python for data analysis
  • Proven success supporting or making business decisions based on your data analysis
  • Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences.
  • Advanced experience with SQL

Bonus (Great to have but not required)

  • Experience with Bayesian modeling methods
  • Experience with Marketing Mix Models and Multi-Touch Attribution models
  • Experience analyzing two-sided marketplaces
  • Experience with B2C, marketplace products
  • Experience with BI tools like Tableau and Looker
Benefits
  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation 
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives - and that people love
  • Any piece of hardware or software that will make you happy and productive
  • An awesome community of co-workers

The base salary range for this position is $170,000 - $220,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors - including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
Notice to Candidates:
BetterHelp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page (betterhelp.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official BetterHelp recruitment emails will come from the domain @betterhelp.com. Our commitment is to ensure a safe and transparent hiring experience for all candidates.  We will never ask you for money, gift cards, or any form of payment during our hiring process, and we will never send money or checks to candidates. If you experience this, it is a scam.


What BetterHelp employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


BetterHelp logo

About BetterHelp

Sourced by ZipRecruiter

* We help people change their lives. BetterHelp is the world's largest therapy service. We set out on a mission to provide everyone with easy, affordable, and private access to professional counseling: anytime, anywhere. To date, our network of over 20,000 licensed, accredited, and board-certified therapists have assisted more than 1,000,000 people. Every month, our secure website and mobile app facilitate over 5,000,000 messages, chats, voice calls, and video sessions that help people face life's challenges. * We're taking mental healthcare to the next level. We combine clinical care, cutting-edge technology and data-driven product development to constantly learn, iterate, and improve. We are relentless in our pursuit of better, always questioning the status quo and discovering new ways to get things done and serve our members. * We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our team's well-being and professional development because we know that business and individual growth go hand-in-hand. You will move fast, remain flexible, and be challenged every day. Join us!

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013

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