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Senior Data Scientist Forecasting Jobs in Renton, WA

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 ...

We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and ...

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 ...

We are seeking a Senior Data Scientist to contribute to high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Senior ...

We are seeking a Senior Data Scientist to contribute to high-impact machine learning initiatives that improve automation, recovery outcomes, and client experience at global scale. This is a Senior ...

Senior, Data Scientist

Seattle, 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 ...

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 ...

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 ...

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 ...

Senior, Data Scientist

Burien, 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 ...

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 ...

Senior, Data Scientist

Bellevue, 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 ...

Senior, Data Scientist

Edmonds, 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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Showing results 1-20

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 Jul 27, 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 specializing in 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, and why are they important?

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.

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.

How does a Senior Data Scientist specializing in 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 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:
What cities near Renton, WA are hiring for Senior Data Scientist Forecasting jobs? Cities near Renton, WA with the most Senior Data Scientist Forecasting job openings:
Infographic showing various Senior Data Scientist Forecasting job openings in Renton, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $160,243 per year, or $77 per hour.
Sr. Data Scientist

Full-time

Posted 18 days ago


Divisions Maintenance Group rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

149th of 250 rated facilities management


Job description

Job Summary:
Divisions Maintenance Group is a provider of facility maintenance services, focused on leveraging technology to improve their offerings. They are seeking a Senior Data Scientist to build and scale their data science practice, working closely with stakeholders to develop analytics solutions and communicate insights effectively.
Responsibilities:
• Partnering with stakeholders to translate complex business problems into data science and advanced analytics solutions.
• Write production level code for robust analytics products.
• Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
• Leverage a diverse set of large and unstructured data to derive meaningful insights and information sets.
• Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.
• Clearly and concisely synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences.
• Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for AI/ML.
Qualifications:
Required:
• Master’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in lieu of a degree.
• 8+ years of relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products.
• Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization.
• Experience with Python and SQL including building python packages.
• Experience gathering, interpreting, and translating business requirements into analytical solutions.
• Demonstrated ability to communicate complex analytical concepts and results at multiple levels to technical and non-technical audiences.
• Experience with code version control platforms like GitHub, GitLab, or Azure DevOps.
• Experience working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers.
• Experience with large-scale data wrangling using databases or Spark.
• Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing.
• Experience working with docker containers.
• Experience working with APIs.
• Experience working with a UI or web framework.
• Ability to manage the stress of a fast-paced environment.
• Ability to meet the in-person requirements of the team and/or business needs.
Company:
Divisions Maintenance Group provides integrated facilities management services that specialize in integrating systems, teams. Founded in 1999, the company is headquartered in Cincinnati, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Divisions Maintenance Group employees say

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Hours and flexibility

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