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Remote Apple Data Scientist Jobs in Bothell, WA (NOW HIRING)

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

Blew Sky

Business Intelligence Data Scientist

Seattle, WA · Remote

$150K - $175K/yr

Fully Remote - Overlap with PST working hours Product Remote Full-time Bluesky's vision is to make ... As a Business Intelligence Data Scientist at Bluesky, you'll work closely with leadership to ...

Docker

Data Scientist, Data Insights

Seattle, WA · On-site +1

Our remote-first team spans the globe, united by a passion for innovation and great developer ... Docker is seeking a Senior Data Scientist to join our Data Insights team. You will be a key ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities ... Employee divides their time between in-office and remote work. Access to an office location is ...

Apple

Senior Software Engineer in Test, Evaluation

Seattle, WA · On-site +1

$171.60K - $302.20K/yr

... Apple Partners delivering features, apps, and the operating systems themselves. You'll get to work ... Work closely with feature owners, data scientists, server and device engineers, leaders, and other ...

MindSource

Research Scientist

Seattle, WA · Remote

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role ... Work closely with engineers, PMs, designers, and data scientists to align on research goals and ...

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Remote Apple Data Scientist information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do remote apple data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for remote apple data scientist in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Apple Data Scientist vs Remote Apple Data Analyst?

AspectRemote Apple Data ScientistRemote Apple Data Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; strong programming skillsBachelor's degree in related field; proficiency in data analysis tools
Work EnvironmentCollaborates with cross-functional teams on complex models and algorithmsPrepares reports, visualizations, and supports decision-making processes
Employer & Industry UsageUsed in R&D, product development, and machine learning projects at AppleUsed in marketing, sales, and operational analysis within Apple

Remote Apple Data Scientists focus on developing advanced models and algorithms, requiring higher technical expertise, while Data Analysts primarily interpret data and generate reports. Both roles are integral to Apple's data-driven decision-making but differ in complexity and scope.

What are popular job titles related to Remote Apple Data Scientist jobs in Bothell, WA? For Remote Apple Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Apple Data Scientist jobs in Bothell, WA look for? The top searched job categories for Remote Apple Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Apple Data Scientist jobs? Cities near Bothell, WA with the most Remote Apple Data Scientist job openings:
Remote Apple Data Scientist jobs near you

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95.95K - $106K/yr

Other

Posted 22 days ago

Job description

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

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