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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 ...

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Sr. Data Scientist Reports To: Director of Engineering Department: Product & Engineering Location ... classification and regression), forecasting, unsupervised clustering, and optimization.

Socket.dev

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

Hands‑on Senior Data Scientist converting ambiguous scientific/business opportunities into measurable AI product hypotheses, experiments, and working solutions. * Partner with AI, Data, App/Cloud ...

Microsoft Corporation

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Overview As a Senior Data Scientist for LLM Evaluation , you will develop and implement cutting-edge methodologies to help us evaluate how well Copilot performs in real-world usage scenarios. Users ...

New

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Overview As a Senior Data Scientist for LLM Evaluation , you will develop and implement cutting-edge methodologies to help us evaluate how well Copilot performs in real-world usage scenarios. Users ...

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 ...

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 ...

Accenture

Senior Data Scientist

Seattle, WA · On-site

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... forecasting, recommendation, anomaly detection, optimization, and related techniques. * Design and ...

Accenture

Senior Data Scientist

Redmond, WA · On-site

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... forecasting, recommendation, anomaly detection, optimization, and related techniques. * Design and ...

Accenture

Senior Data Scientist

Kirkland, WA · On-site

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... forecasting, recommendation, anomaly detection, optimization, and related techniques. * Design and ...

Bristol-Myers Squibb

Senior Data Scientist

Seattle, WA · On-site

$151 - $183/hr

As a Senior Data Scientist within Bristol Myers Squibb's AI Venture Studio delivery team, you will be a hands-on senior individual contributor who helps convert ambiguous scientific and 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 Aug 16, 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.

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

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Cities near Renton, WA with the most Senior Data Scientist Forecasting job openings:

Senior Data Scientist Forecasting jobs near you
Infographic showing various Senior Data Scientist Forecasting job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $160,243 per year, or $77 per hour.

Senior Data Scientist

Applexus Technologies (P) Ltd

Federal Way, WA • On-site

$120 - $150/hr

Other

Posted 11 days ago

Job description

We are seeking an experienced and highly motivated Senior Data Scientist to design, develop, and scale advanced machine learning solutions that deliver measurable business outcomes. The ideal candidate will possess deep expertise across classical machine learning techniques, architect end-to-end ML pipelines, and build production-grade AI/ML solutions at scale.

This role requires close collaboration with business stakeholders, analytics teams, data engineers, and technology leaders to solve complex business problems across domains such as Finance and Supply Chain.

Key Responsibilities
  • Work closely with business stakeholders to identify opportunities and translate business challenges into AI/ML solutions.
  • Design, develop, and deploy machine learning models using structured and unstructured data.
  • Apply advanced statistical and machine learning techniques including regression, classification, clustering, recommendation systems, and time-series forecasting.
  • Architect and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining.
  • Build scalable and production-ready ML systems using cloud-native technologies and MLOps best practices.
  • Drive model deployment through Docker, CI/CD pipelines, cloud-based serving infrastructure, and automated monitoring frameworks.
  • Establish robust monitoring mechanisms for model performance, data quality, drift detection, and retraining strategies.
  • Evaluate trade-offs between model accuracy, latency, scalability, and operational costs to deliver optimal business solutions.
  • Partner with data engineering teams to develop scalable data pipelines and feature stores.
  • Mentor junior data scientists and provide technical leadership on AI/ML initiatives.
  • Present findings, recommendations, and technical solutions to both business and executive stakeholders.
Qualifications Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Experience

8+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.

Demonstrated success in developing and deploying production-grade machine learning systems.

Technical Skills

Deep expertise in classical machine learning techniques including:

  • Regression
  • Classification
  • Time-Series Forecasting
  • Strong understanding of statistics, probability, experimentation, and predictive modeling.
Programming & Frameworks

Proficiency in Python and SQL.

Experience with machine learning frameworks such as:

  • Scikit-learn
  • XGBoost
  • TensorFlow
  • PyTorch
MLOps & Deployment

Experience designing and implementing end-to-end ML pipelines.

Strong hands‑on experience with:

  • Docker
  • Model serving and deployment frameworks
  • Drift monitoring and model lifecycle management

Experience with cloud platforms such as AWS, Azure, or GCP.

Strong understanding of data architecture, ETL processes, APIs, and large-scale data processing.

Experience working with structured, semi-structured, and unstructured datasets.

Preferred Qualifications
  • Functional knowledge in at least one business domain: Finance
  • Supply Chain
  • Experience with Generative AI and Large Language Models (LLMs) is a plus.
  • Experience working in consulting or customer‑facing environments.
  • Strong solution architecture and system design capabilities.
  • Ability to architect AI/ML solutions at scale.
  • Expertise in balancing accuracy, latency, scalability, and cost considerations.
  • Excellent communication and stakeholder management skills.
  • Strong analytical thinking and problem‑solving abilities.
  • Ability to lead cross‑functional teams and mentor junior team members.
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