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Data Science Instructor Remote Jobs in Everett, WA

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... data science. * 4-6 years of strong experience with the following machine learning topics ...

iSpot

Principal Software Development Engineer

Bellevue, WA · On-site +1

$163K - $212K/yr

You will collaborate closely with engineering, data science, product, and leadership teams to ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

micro1 AI

Cheminformatics Specialist - Remote

Everett, WA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

Cheminformatics Specialist - Remote

Seattle, WA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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All JobsData Science Instructor JobsData Science Instructor Remote JobsData Science Instructor Remote Jobs in Everett, WA

Data Science Instructor Remote information

See Everett, WA salary details

$14.9K

$64.9K

$111K

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

As of Aug 9, 2026, the average yearly pay for data science instructor remote in Everett, WA is $64,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $74,000.00 per year, depending on experience, location, and employer.

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

AspectData Science Instructor RemoteData Analyst Remote
Required CredentialsTypically a degree in Data Science, Computer Science, or related field; teaching experienceDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentOnline teaching platforms, educational institutionsRemote data analysis projects, companies, or consulting
Employer & Industry UsageEducational institutions, online course providersBusinesses, finance, healthcare, marketing
Common Search & ComparisonOften compared for teaching roles in data scienceCompared for data analysis roles

While both roles involve working with data, a Data Science Instructor Remote focuses on teaching and curriculum development in data science, whereas a Data Analyst Remote concentrates on analyzing data to inform business decisions. The credentials overlap but differ mainly in job focus and work environment.

What are some common challenges faced by remote data science instructors, and how can they be addressed?

Remote Data Science Instructors often face challenges related to student engagement and communication, as virtual environments can make it harder to gauge comprehension and foster interaction. To address this, instructors can leverage interactive teaching tools, encourage active participation through breakout sessions and live coding, and provide regular, personalized feedback. Additionally, establishing clear communication channels and setting expectations for responsiveness can help bridge the physical distance and create a supportive online learning community.

What does a data science instructor remote do?

A Data Science Instructor Remote teaches students foundational and advanced concepts in data science through online platforms. They develop lesson plans, deliver lectures or workshops, guide students through hands-on projects, and provide feedback on assignments. Instructors also stay current with industry trends to ensure their teaching materials remain relevant. They may interact with students via video calls, forums, and virtual office hours, supporting learners from diverse backgrounds and locations.

What are the key skills and qualifications needed to thrive as a data science instructor remote, and why are they important?

To thrive as a Data Science Instructor (Remote), you need a strong background in data science concepts, programming (Python or R), and a relevant degree or industry experience. Familiarity with data analysis tools like Jupyter Notebook, version control systems like Git, and learning management systems (LMS) is typically required. Outstanding communication, patience, and an ability to explain complex topics clearly help set exceptional instructors apart. These skills ensure students effectively learn analytical techniques and prepare for real-world data science roles in a remote environment.
What are popular job titles related to Data Science Instructor Remote jobs in Everett, WA? For Data Science Instructor Remote jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Instructor Remote jobs in Everett, WA look for? The top searched job categories for Data Science Instructor Remote jobs in Everett, WA are:
Data Science Instructor Remote jobs near you

Sr. Principal Customer Risk & Retention Strategy Manager

Smartsheet

Bellevue, WA • Remote

Other

Posted 25 days ago

Smartsheet rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

68th of 242 rated software companies

Job description

Smartsheet is a tech company with a human story to tell. We're here to empower teams to manage projects, automate workflows, and rapidly build new secure solutions, using simple no-code tools. We're revolutionaries - so for us changing the way the world works is all in a day's work.

We are looking for a Sr. Principal Customer Risk & Retention Strategy Manager to join Smartsheet's Customer Excellence team. In this role, you will lead a portfolio of targeted retention programs, including key account motions, that complement Customer Excellence's efforts to identify, forecast, and mitigate customer churn. You will partner closely with Customer Excellence, Product, Revenue Operations, and Data Science. This is a highly visible role with direct impact on Gross and Net Revenue Retention, shaping how Smartsheet proactively manages customer risk at scale. The opportunity is ideal for a strategic operator who thrives at the intersection of data, customer lifecycle strategy, and cross-functional execution.

This is a remote eligible position and you may work remotely from anywhere in the US where Smartsheet is registered.

You Will:

  • Lead a portfolio of customer retention programs , defining how at-risk customers are identified, prioritized, and addressed across the customer lifecycle
  • Design and operationalize churn forecasting and predictive risk models in partnership with Data Science and Revenue Operations to enable proactive retention actions
  • Lead churn analysis and root cause identification, translating insights into targeted, high-impact mitigation programs and playbooks
  • Build and evolve customer health scoring frameworks that are predictive, actionable, and embedded into Customer Excellence and renewal workflows
  • Scale risk mitigation through automation and process design, improving renewal journeys, cash-to-close efficiency, and consistency of execution across teams
  • Design and launch practical, field-ready risk mitigation programs, including playbooks, workflows, and intervention models that Customer Excellence and renewal teams can execute consistently at scale

You Have:

  • 15+ years of experience in Customer Success, Sales, Sales Operations, Account Management or related experience in a SaaS
  • 5+ years experience in people and/or program management 
  • Bachelor's degree, MBA preferred
  • Willing to travel periodically for onsites and key meetings
  • Deep experience in retention strategy within a SaaS environment, with demonstrated ownership of churn reduction initiatives
  • Strong analytical and forecasting expertise, including experience partnering with Data Science teams on predictive modeling, health scoring, and churn forecasting
  • Proven track record leading large, cross-functional programs from strategy through execution with measurable impact on retention metrics (GRR, NRR)
  • Expertise designing and operationalizing customer health scores and risk frameworks that drive consistent, proactive action by customer-facing teams
  • Strong understanding of SaaS customer lifecycle economics, including renewals, expansion, risk signals, and retention levers across segments
  • Hands-on experience building and operationalizing churn mitigation playbooks and programs, translating insights into repeatable workflows, clear ownership models, and measurable outcomes

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