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Intern Data Scientist Apprentice Jobs in Seattle, WA

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

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How much do intern data scientist apprentice jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for intern data scientist apprentice in Seattle, WA is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What does an intern data scientist apprentice do?

An Intern Data Scientist Apprentice assists experienced data scientists in collecting, cleaning, and analyzing data to help organizations make informed decisions. They often work on tasks like data preprocessing, creating visualizations, and building simple models under supervision. This role is designed to provide hands-on experience with tools such as Python, SQL, and machine learning libraries. It's an entry-level position that helps individuals learn industry practices and gain practical skills for a future career in data science.

What types of projects and tasks can I expect as an intern data scientist apprentice?

As an Intern Data Scientist Apprentice, you will typically work on real-world data analysis projects under the guidance of experienced data scientists. Your tasks may include cleaning and organizing datasets, conducting exploratory data analysis, building and evaluating simple machine learning models, and presenting findings to your team. You'll also collaborate closely with software engineers, analysts, and business stakeholders, gaining exposure to the full data science workflow. This hands-on experience will help you develop practical skills and understand how data-driven solutions support business goals.

What are the key skills and qualifications needed to thrive as an intern data scientist apprentice, and why are they important?

To thrive as an Intern Data Scientist Apprentice, you need a solid understanding of statistics, programming (often Python or R), and foundational knowledge in machine learning, typically supported by coursework or relevant academic background. Familiarity with data analysis tools like Pandas, NumPy, and SQL, as well as experience using platforms such as Jupyter Notebook and Git, is highly beneficial. Strong problem-solving, curiosity, and the ability to communicate insights clearly are key soft skills that help you stand out. These skills and qualities are crucial for effectively analyzing data, collaborating with teams, and contributing valuable insights to real-world projects.

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Intern Data Scientist Apprentice jobs near you

Senior Data Scientist (Multiple Positions)

TikTok

Bellevue, WA • On-site

Full-time

Re-posted yesterday

TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

106th of 244 rated software companies

Job description

Job Summary:
TikTok is the leading destination for short-form mobile video, and they are seeking a Senior Data Scientist to provide insights that influence product development. The role involves applying advanced statistics and machine learning to analyze data, partner with various teams, and mentor junior Data Scientists.
Responsibilities:
• Provide insights to influence product development using advanced statistics, machine learning (ML), and programming.
• Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
• Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
• Build classification and clustering machine learning models to understand data characteristics.
• Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
• Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
• Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses.
• Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Mentor junior and intern Data Scientists.
Qualifications:
Required:
• Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.
• Of the required experience, must have 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing;
• Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification;
• Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques;
• Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
• Building, tuning, and validating statistical models for regression and classification problems in Python and R.
Company:
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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