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Remote Data Science Intern Jobs in Oregon (NOW HIRING)

ClickHouse

Data Scientist, Growth

OR · Remote

NOTE: this position can be remote anywhere within the United States. ClickHouse is looking for our first Data Scientist to build marketing attribution infrastructure and drive product-led growth ...

DHARWIN BUSINESS SOLUTIONS LLC

Be Seen First

Data Analyst (STEM OPT - Entry Level)

OR · Remote

Remote (United States) Job Type: Full-Time Company: Dharwin Business Solutions LLC About the ... Master's or Bachelor's degree in Data Analytics, Data Science, Computer Science, Information ...

DHARWIN BUSINESS SOLUTIONS LLC

Be Seen First

Data Analyst (STEM OPT - Entry Level)

OR · Remote

Remote (United States) Job Type: Full-Time Company: Dharwin Business Solutions LLC About the ... Master's or Bachelor's degree in Data Analytics, Data Science, Computer Science, Information ...

Shipt

Data Scientist

OR · On-site +1

MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields * 2+ years of experience with geospatial data (ex. GPS traces, spatial indexing systems, or routing ...

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

UMB Financial

AI Data Architect

OR · On-site +1

$63.75 - $82/hr

However, the remote location must be within the US. How you will spend your time: * Define and ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

Lumen Technologies

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

... science methods and the versatility to operate across both code and no-code environments. This ... Location This is a fully remote opportunity open to candidates located anywhere in the U.S. The ...

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... data engineering intern, analytics engineer) How We Work Together * Location : Remote within the ...

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Remote Data Science Intern information

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Oregon? The most popular types of Remote Data Science jobs in Oregon are:
What are popular job titles related to Remote Data Science Intern jobs in Oregon? For Remote Data Science Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Oregon look for? The top searched job categories for Remote Data Science Intern jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Science Intern jobs? Cities in Oregon with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Oregon as of May 2026, with employment types broken down into 16% Internship, 73% Full Time, and 11% Part Time. Highlights an 5% In-person, and 95% Remote job distribution.
Data Scientist, Growth

Data Scientist, Growth

ClickHouse

Remote

Other

Posted 7 days ago

Job description

NOTE: this position can be remote anywhere within the United States.

ClickHouse is looking for our first Data Scientist to build marketing attribution infrastructure and drive product-led growth through data insights. In this role, you'll be the expert on how marketing campaigns influence product signups and revenue, while owning analytics across our entire self-serve funnel. You'll establish attribution frameworks, analyze experiments, and connect marketing investments to growth outcomes. As our first data scientist dedicated to Growth and Product Analytics, you'll also support broader marketing analytics needs across the organization.

We're looking for someone who thrives on measurement and experimentation. You'll have the opportunity to build attribution systems from the ground up and shape how we understand marketing's impact on product growth alongside a passionate community of ClickHouse users.

What you will do:

  • Build and own multi-touch attribution models that connect marketing campaigns, channels, and touch points to product signups, trial starts, and pipeline
  • Partner with marketing to analyze campaign performance across paid, organic, and community channels-measuring impact on signup volume, user quality, and conversion rates.
  • Establish marketing data pipelines and ensure clean, standardized tracking across web analytics, marketing platforms, and product data.
  • Design, analyze, and interpret A/B tests across the website and product to optimize conversion rates at each funnel stage.
  • Own analytics for the product-led growth funnel: website conversion, signup flows, onboarding, and activation metrics.
  • Support broader marketing analytics needs including content performance, event impact, webinar analysis, and demand generation reporting.
  • Develop and standardize growth and marketing KPIs alongside leadership. Build and maintain a data dictionary for marketing attribution, growth, and product metrics.
  • Create dashboards and reports that track conversion rates, feature adoption, and user behavior. Proactively identify friction points and recommend data-driven experiments to improve performance.
  • Present insights and recommendations to marketing, growth, and leadership teams in a clear, actionable format.

Requirements:

  • Minimum of 5+ years of experience in a Growth Analyst, Data Scientist, or Marketing Analyst role with deep attribution expertise and experience building models.
  • Expert-level SQL skills. Comfortable querying large datasets, building attribution models, and creating funnel analyses. Experience with ClickHouse or similar columnar databases is ideal.
  • Strong experience with Google Analytics and UTM tracking frameworks.
  • Strong experience with marketing attribution methodologies (first-touch, last-touch, multi-touch, data-driven attribution) and tools.
  • Proficiency in Python for statistical analysis, attribution modeling, and data automation.
  • Deep understanding of experimental design, A/B testing methodologies, and statistical significance testing.
  • Skilled in dashboard creation and data visualization with tools like Superset or Preset.
  • Experience working with marketing campaign platforms, customer segmentation, and CRM data.
  • Strong communication skills with the ability to translate technical findings into clear business insights.

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