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Remote Data Science Jobs in Oregon (NOW HIRING)

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create ...

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers ...

Data Scientist

$96K - $134K/yr

Remote Department: Clinical and Population Health Analytics Schedule: Full-time | Day shift Salary ... A Bachelor's, Master's, or PhD in Data Science, Computer Science, Health Informatics, Statistics ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Data Scientist

OR · On-site +1

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes * Strong statistical ...

Open to Remote LMI is a new breed of digital solutions provider dedicated to accelerating ... Bachelor's degree in data science, mathematics, statistics, economics, computer science ...

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Showing results 1-20

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 3, 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 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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 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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,269 per year, or $50.1 per hour.

Director, Data Science Operations

Kemper

OR • Remote

$160K - $226K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Location(s)

Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ, Remote-CA, Remote-CO, Remote-CT, Remote-DE, Remote-FL, Remote-GA, Remote-HI, Remote-IA, Remote-ID, Remote-IL, Remote-IN, Remote-KS, Remote-KY, Remote-LA, Remote-MA, Remote-MD, Remote-ME, Remote-MI, Remote-MN {+ 26 more}

Details

Director, Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties include: Analyze, estimate & define data transformation req. to load data into EDW, Snowflake, Postgres, S3 (enterprise production & custom-built analytics environment). Create ETL architecture & design flows to illustrate data mvmt from production to analytics environments (new & legacy AWS analytics environments). Design & develop database code software. Analyze project & make strategy for analytics data solutions & AI model support & deployment. ETL & analytics S3 storage projects. Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create POCs for new implementation or tech. enhancement & recommend improvements. Remote working benefits available. Can work from anywhere in U.S. MIN REQ: Bach. degree, or foreign equiv., in Comp Sci, Eng'g, Math, Physics or related field. 10 yrs exp. in job offered or as Database Architect or Data Warehousing Specialist. SPECIAL SKILLS: 10 yrs exp w/ SQL & adapt skills in multiple relational tech. (Redshift, Hive, SparkSQL etc.); event oriented, Reactive architectures. 8 yrs exp w/ Python data skills w/ Pandas, & XML/JSON parsing. 5 yrs exp w/ AWS tech. Redshift, Glue, DynamoDB, S3; streaming platforms such as Spark Streaming, Flink & workflow mgrs such as Airflow; at least one ETL tool such as Informatica, Pentaho, SAP, etc. 2 yrs exp implementing at scale, messaging sys. such as Amazon Kinesis or Apache Kafka; languages such as Java or Scala. Travel: Up to 5% short-term, domestic travel may be involved to attend industry conferences. Wage range: $160,555 to $226,500. When determining candidate offers, we consider exp., skills, education, certifications, & geographic location among other factors. This job is eligible for an annual discretionary bonus and benefits (Medical, Dental, Vision, PTO, 401k, etc.). Email resume to Jennifer Brown, HR Services Lead: Jennifer.brown@kemper.com. List R-26-0037133 on resume.