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Online Data Science Instructor Jobs in Bothell, WA

Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel? Our Machine Learning and Data Science team are growing! We are looking to hire ...

Getting a model to production at Amazon requires rigor: you'll define success criteria, run online ... science that determines what products are available, when, and at what cost - for hundreds of ...

Otter is a company dedicated to helping restaurateurs succeed in online food delivery by providing ... Design, Data Science, GTM, and Customer teams to ship iteratively and learn fast. • Own the ...

Otter is a company focused on helping restaurateurs succeed in online food delivery through ... Design, Data Science, GTM, and Customer teams to ship iteratively and learn fast. • Own the ...

You'll work on some of the hardest problems in online experimentation: sample ratio mismatch ... Mentor other data scientists and raising the overall technical bar for experimentation and causal ...

... online travel brands. This is a mid-level individual contributor role, partnering with product ... Bachelor's degree in Computer Science, Statistics, Mathematics, or a related technical field; or ...

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Online Data Science Instructor information

See Bothell, WA salary details

$15.1K

$65.6K

$112.3K

How much do online data science instructor jobs pay per year?

As of Jul 11, 2026, the average yearly pay for online data science instructor in Bothell, WA is $65,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $74,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Online Data Science Instructor, and why are they important?

To thrive as an Online Data Science Instructor, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or a related field), along with prior teaching or mentoring experience. Familiarity with platforms such as Jupyter Notebook, Python, R, and online learning management systems (LMS) is typically required, as well as certifications like Data Science Professional Certificates. Excellent communication, patience, and the ability to motivate and engage remote learners are standout soft skills. These skills ensure that complex data concepts are taught effectively, fostering student understanding and success in a virtual environment.

What does an Online Data Science Instructor do?

An Online Data Science Instructor teaches students concepts and practical skills in data science using digital platforms. They create and deliver lessons on topics like statistics, programming, machine learning, and data analysis, often through live lectures, recorded videos, and interactive assignments. Instructors also provide feedback, answer questions, and support students as they progress through the course material. Their goal is to help learners acquire the knowledge and tools needed to analyze data and solve real-world problems.

What is a typical workday like for an Online Data Science Instructor, and how do they interact with students and colleagues?

A typical day for an Online Data Science Instructor involves preparing and delivering virtual lectures, creating and grading assignments, and providing feedback to students through various online platforms. Instructors often host live Q&A sessions, facilitate discussions in forums, and hold virtual office hours to support student learning. Collaboration with fellow instructors and curriculum developers is common, ensuring course materials remain current and effective. Balancing teaching responsibilities with student engagement and curriculum development is a key challenge, but it also offers opportunities for continuous learning and professional growth.
What are popular job titles related to Online Data Science Instructor jobs in Bothell, WA? For Online Data Science Instructor jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Online Data Science Instructor jobs in Bothell, WA look for? The top searched job categories for Online Data Science Instructor jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Online Data Science Instructor jobs? Cities near Bothell, WA with the most Online Data Science Instructor job openings:
Infographic showing various Online Data Science Instructor job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,636 per year, or $31.6 per hour.
Data Scientist II, Amazon Currency Convertor

Data Scientist II, Amazon Currency Convertor

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,956 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

How to use the world's richest collection of e-commerce data to improve payments experience for our customers? Amazon Payments Data Science team seeks a Data Scientist for building analytical solutions that will address increasingly complex business questions in the Amazon Currency convertor space.
Amazon.com has a culture of data-driven decision-making and demands insights that are timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.
As a Data Scientist in this team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the Amazon currency convertor business team through a combination of Gen AI, LLM and other machine learning techniques for text analytics, segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.
Key job responsibilities
• Understand the applications of causal inference models on real datasets, including assessment of marketing campaigns, online experiments, uplift analysis etc
• Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management
• Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus are
• Innovate by adapting new modeling techniques and procedures
• Effective exploratory data analysis, and model building using industry standard regression and classification techniques such as Random Forest, XGBoost package, Keras framework
• Demonstrate thorough technical knowledge Fine Tuning of Amazon LLMs to handle large blocks of text, using Generative AI to solve for summarization tasks and prevent catastrophic forgetting, feature engineering of massive datasets,
• Be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
• Have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive
BASIC QUALIFICATIONS
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US