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Data Analytics Virtual Internship Jobs in Bothell, WA

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... interns in the areas of natural language processing, natural language generation, and deep learning ... Your scope will reach from text classification problems over big data analytics to A/B testing and ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$177K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Data Scientist, Product Analytics

Bellevue, WA

$147K/yr

You will use data and analysis to identify and solve product development's biggest challenges. You ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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All JobsData Analytics JobsData Analytics Virtual Internship JobsData Analytics Virtual Internship Jobs in Bothell, WA

Data Analytics Virtual Internship information

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$25

$47

How much do data analytics virtual internship jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data analytics virtual internship in Bothell, WA is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $27.40 per hour, depending on experience, location, and employer.

What is a Data Analytics Virtual Internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What types of real-world projects can I expect to work on during a Data Analytics Virtual Internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

What is the difference between Data Analytics Virtual Internship vs Data Analyst?

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

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

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.
What are popular job titles related to Data Analytics Virtual Internship jobs in Bothell, WA? For Data Analytics Virtual Internship jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Virtual Internship jobs in Bothell, WA look for? The top searched job categories for Data Analytics Virtual Internship jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Analytics Virtual Internship jobs? Cities near Bothell, WA with the most Data Analytics Virtual Internship job openings:
Data Analytics Virtual Internship jobs near you
Infographic showing various Data Analytics Virtual Internship job openings in Bothell, WA as of July 2026, with employment types broken down into 17% Internship, 63% Full Time, 14% Part Time, and 6% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $52,327 per year, or $25.2 per hour.
Data Scientist

Data Scientist

Conversica, Inc

Seattle, WA • On-site

Full-time

Posted 6 days ago

Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications

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