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Senior Data Scientist Forecasting Jobs in Renton, WA

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Title: Sr Data Scientist Client: Savers Inc Location: Seattle, Washington, Preferred Hybrid, 2 days ... Build demand forecasting models leveraging external data signals (weather, events, seasonality ...

DocuSign, Inc.

Senior Data Scientist

Seattle, WA · On-site

What you'll do Docusign's Product Data Science team is looking for a Senior Data Scientist to support the development of key data products and capabilities to enable data‑driven product development ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in ...

DocuSign

Senior Data Scientist

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Senior Data Scientist to support the development of key data products and capabilities to enable data-driven product development ...

Microsoft

Senior Data Scientist - FDE

Redmond, WA · On-site

As a Senior Data Scientist , you will help transform how organizations use data, developing models, running experiments, and driving evidence-based decisions that have measurable business impact. You ...

Vizio

Senior, Data Scientist

Federal Way, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Vizio

Senior, Data Scientist

Kent, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Vizio

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

Vizio

Senior, Data Scientist

Kirkland, WA · On-site

$108K - $216K/yr

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business ...

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Senior Data Scientist Forecasting information

See Renton, WA salary details

$46.7K

$160.2K

$226.1K

How much do senior data scientist forecasting jobs pay per year?

As of Sep 10, 2026, the average yearly pay for senior data scientist forecasting in Renton, WA is $160,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $187,300.00 per year, depending on experience, location, and employer.

What does a senior data scientist forecasting do?

A Senior Data Scientist specializing in Forecasting is responsible for developing advanced models to predict future trends, demands, or behaviors based on historical data. They use statistical, machine learning, and time series methods to generate accurate forecasts that help organizations make data-driven decisions. In addition to building models, they also interpret results, communicate findings to stakeholders, and mentor junior team members. Their work is crucial for industries like retail, finance, and supply chain where anticipating future outcomes impacts strategic planning.

What are the key skills and qualifications needed to thrive as a senior data scientist forecasting?

To thrive as a Senior Data Scientist Forecasting, you need advanced statistical modeling expertise, strong programming skills in languages such as Python or R, and a degree in a quantitative field. Experience with machine learning frameworks, time series forecasting tools (like Prophet, ARIMA, or TensorFlow), and data visualization platforms is typically required. Exceptional problem-solving ability, business acumen, and clear communication help translate complex analyses into actionable insights for stakeholders. These skills are crucial for generating accurate forecasts that drive strategic decisions and add measurable value to the organization.

How does a senior data scientist forecasting typically collaborate with cross-functional teams to improve predictive models?

As a Senior Data Scientist in forecasting, you'll regularly engage with cross-functional teams such as product management, engineering, and business stakeholders to understand forecasting needs and key metrics. You'll translate business objectives into technical requirements, share insights from model outputs, and work closely with data engineers to ensure data quality and pipeline efficiency. This collaboration helps refine predictive models, address real-world constraints, and ensure the forecasting solutions are actionable and aligned with business goals. Open communication and iterative feedback are crucial for driving impactful results and continuous model improvement.

What is the difference between Senior Data Scientist Forecasting vs Data Scientist?

AspectSenior Data Scientist ForecastingData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; experience in forecasting modelsBachelor's or Master's in relevant field; foundational data analysis skills
Work EnvironmentFocus on time series, predictive modeling, and forecasting projects within finance, retail, or supply chainBroader data analysis tasks across various domains, including descriptive analytics and data visualization
Employer & Industry UsageCommon in finance, retail, and logistics companies emphasizing demand and sales forecastingUsed across industries for general data analysis, reporting, and insights generation

The main difference between a Senior Data Scientist Forecasting and a Data Scientist lies in specialization and experience. The forecasting role requires expertise in predictive time series models and industry-specific forecasting applications, often at a senior level. In contrast, a Data Scientist typically handles a wider range of data analysis tasks with less focus on forecasting, making the senior forecasting role more specialized and advanced.

What are popular job titles related to Senior Data Scientist Forecasting jobs in Renton, WA?

For Senior Data Scientist Forecasting jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Senior Data Scientist Forecasting jobs in Renton, WA look for?

The top searched job categories for Senior Data Scientist Forecasting jobs in Renton, WA are:

Senior Data Scientist Forecasting jobs near you
Infographic showing various Senior Data Scientist Forecasting job openings in Renton, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $160,243 per year, or $77 per hour.

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

Seattle, WA • On-site

Starbucks
Food Services and Drinking Places • 10K+ employees
Learn more about Starbucksexternal

Full-time

This job post has expired 1 day ago. 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

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

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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

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