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Data Scientist Intern Jobs in Bothell, WA (NOW HIRING)

Data Scientist

Seattle, WA ยท On-site

$169K - $233K/yr

Data Scientist, Pricing Location: Hyrbrid 4 onsite, 1 remote Seattle WA. Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at ...

Overview We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers ...

Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data ...

Work with senior management, technical and client teams in order to determine data requirements ... Bachelor's degree in a technical field such as computer science, computer engineering or related ...

Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making You Have: * 3+ years of experience as a data scientist, applied scientist, economist, or related ...

Microsoft AI is seeking a Senior Data Scientist to join the Bing organization, which focuses on advancing predictive models, product analysis, and online experimentation methods. The role involves ...

As a Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping growth of the Bing product. You will have the opportunity to work with the engineering teams ...

Principal, Data Scientist

Bellevue, WA ยท On-site

$132K - $264K/yr

A principal data scientist would be expected to play a lead technical role in architecting data science solutions in order to achieve outstanding business outcomes for Marketplace. * Work closely ...

Distinguished, Data Scientist

Bellevue, WA ยท On-site

$156K - $312K/yr

As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to: * Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML ...

Distinguished, Data Scientist

Bellevue, WA ยท On-site

$156K - $312K/yr

What you'll do...s a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to: * Drive innovative strategic solutions for Marketplace utilizing advanced SOTA ...

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Data Scientist Intern information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do data scientist intern jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data scientist intern in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What types of projects and tasks can I expect to work on as a Data Scientist Intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

What are Data Scientist Interns?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

What is the difference between Data Scientist Intern vs Data Analyst Intern?

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

What are the most commonly searched types of Data Scientist jobs in Bothell, WA? The most popular types of Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Scientist Intern jobs? Cities near Bothell, WA with the most Data Scientist Intern job openings:
Data Scientist

Data Scientist

Opendoor

Seattle, WA โ€ข On-site

$169K - $233K/yr

Full-time

Re-posted 29 days ago


Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
Data Scientist, Pricing
Location: Hyrbrid 4 onsite, 1 remote Seattle WA.
Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance.
We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
What You'll Do
  • Build and maintain pricing metrics, dashboards, and frameworks.
  • Run experiments and causal analyses to measure impact and drive decisions.
  • Develop predictive + statistical models that improve pricing accuracy.
  • Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
  • Deliver insights and narratives that inform executive strategy.

Skills & Qualifications
  • Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
  • Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
  • Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
  • Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  • Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  • High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
  • Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences.
  • 8+ years of experience in data science, product analytics, or a similar quantitative role.

#LI-RO
The pay range for this role is:
169,600 - 233,200 USD per year (US Zone 2)