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Data Scientist Forecasting Flex Schedule Jobs in Bothell, WA

Build demand forecasting models leveraging external data signals (weather, events, seasonality ... Science experience with a strong foundation in classical ML * Proficiency in supervised and ...

We are responsible for driving business insights, forecasting, strategic planning, experimentation ... We are seeking an experienced Principal Business Analytics Data Scientist with solid business ...

... and forecasting. Build, test, implement and analyze multivariate testing programs for the Apple ... data science based insights. Develop scalable data models and solutions to be used to drive ...

Design, develop, and evaluate machine learning and deep learning models to solve forecasting ... We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of ...

Design, develop, and evaluate machine learning and deep learning models to solve forecasting ... We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of ...

Design, develop, and evaluate machine learning and deep learning models to solve forecasting ... We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of ...

Design, develop, and evaluate machine learning and deep learning models to solve forecasting ... We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of ...

... forecasting methods and other advanced statistical techniques. You will work with data from diverse ... PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations ...

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Data Scientist Forecasting Flex Schedule information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do data scientist forecasting flex schedule jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data scientist forecasting flex schedule in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Forecasting Flex Schedule vs Data Analyst Forecasting Flex Schedule?

AspectData Scientist Forecasting Flex ScheduleData Analyst Forecasting Flex Schedule
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related; proficiency in data visualization and basic analytics
Work EnvironmentCollaborative teams, research-focused, often in tech or finance industriesBusiness units, reporting teams, often in corporate or retail sectors
Employer & Industry UsageTech companies, financial institutions, consulting firmsRetail, marketing, healthcare, and finance sectors

While both roles involve forecasting, Data Scientist Forecasting Flex Schedule typically requires advanced analytics and machine learning skills, working on complex predictive models. Data Analyst Forecasting Flex Schedule focuses on analyzing historical data and generating reports. The roles differ mainly in technical depth and scope, but both support data-driven decision-making.

What are popular job titles related to Data Scientist Forecasting Flex Schedule jobs in Bothell, WA?

For Data Scientist Forecasting Flex Schedule jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Forecasting Flex Schedule jobs in Bothell, WA look for?

The top searched job categories for Data Scientist Forecasting Flex Schedule jobs in Bothell, WA are:

Senior Data Scientist, Forecasting & Supply Chain Optimization (Seattle)

Seattle, WA • On-site

Starbucks
Food Services and Drinking Places • 10K+ employees

Full-time

This job post has expired today. Applications are no longer accepted.


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,649 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Starbucks is seeking a Principal Data Scientist to shape forecasting, planning, and decision-making across the enterprise. You will lead the scientific strategy for a unified planning capability, connecting demand, inventory, purchasing, and financial signals into an intelligent decision ecosystem.

You will mentor teams, establish standards, and collaborate with Supply Chain, Finance, Product, and Technology to deliver impact at scale. Onsite work model preferred.

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What Starbucks employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Starbucks

Sourced by ZipRecruiter

Starbucks Corporation is an American multinational chain of coffeehouses and roastery reserves. It is one of the largest coffeehouse chains in the world. Starbucks was founded in Seattle, Washington in 1971 by Jerry Baldwin, Zev Siegl, and Gordon Bowker. The company's initial focus was on selling whole coffee beans and coffee-making equipment. Over the years, Starbucks has expanded its operations and become known for its distinctive coffeehouse atmosphere and high-quality coffee products. The company offers a wide range of beverages, including various coffee-based drinks, teas, hot chocolates, and other specialty drinks. Starbucks also serves a variety of food items such as pastries, sandwiches, salads, and snacks. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. One of the key factors that set Starbucks apart from other coffee chains is its commitment to providing a unique customer experience. Starbucks locations are designed to be comfortable and welcoming, often featuring cozy seating areas and free Wi-Fi access. The company aims to create a "third place" between home and work where customers can relax, socialize, or work while enjoying their favorite beverages. In addition to its traditional coffeehouses, Starbucks has expanded its brand to include different store formats. This includes drive-thru locations, express stores, and even upscale Reserve Roasteries and Reserve Bars that offer a more immersive coffee experience. Starbucks is also known for its ethical sourcing practices. The company has implemented programs such as Coffee and Farmer Equity (C.A.F.E.) Practices, which promote environmentally friendly and socially responsible coffee production. Starbucks has a commitment to ethically sourcing its coffee beans and has made efforts to support sustainable farming practices and improve the livelihoods of coffee farmers. The Starbucks brand has a global presence, with thousands of stores in countries around the world. It has become a symbol of premium coffee and a popular destination for coffee lovers worldwide. The company's success has made it an iconic brand and a significant player in the global coffee industry.

Industry

Food services and drinking places and restaurants

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US