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Assistant Data Scientist Forecasting Jobs in Seattle, WA

Sidram Technologies

Data Scientist

Seattle, WA · On-site

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

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

Contribute to capacity forecasting and optimization by converting quantitative decision‑making ... data science with proven skills in developing meaningful and concise analytic objectives from ...

Weyerhaeuser

Data Scientist

Seattle, WA · On-site

$109 - $163/hr

Design, develop, and evaluate machine learning and deep learning models to solve forecasting ... scientific approaches and influence stakeholders through data-driven recommendations.Develop ...

Weyerhauser Co

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist to provide technical leadership and passionate about ... Design, develop, and evaluate machine learning and deep learning models to solve forecasting ...

Weyerhaeuser Company

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist to provide technical leadership and passionate about ... Design, develop, and evaluate machine learning and deep learning models to solve forecasting ...

Weyerhaeuser Company

Data Scientist

Seattle, WA · On-site

We are seeking an experienced Data Scientist to provide technical leadership and passionate about ... Design, develop, and evaluate machine learning and deep learning models to solve forecasting ...

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

... classification and regression), forecasting, unsupervised clustering, and optimization ... Employee Assistance Program to assist with everyday challenges. * Paid time off to volunteer.

Microsoft

Data Scientist, Datacenter

Redmond, WA · On-site

The CO+I Demand Planning Data Science team delivers Microsoft's Long Range Infrastructure plan ... the forecasting plan matches the execution. Microsoft's mission is to empower every person and ...

DevSelect

Principal Data Scientist

Redmond, WA · On-site

... 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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All JobsData Scientist Forecasting JobsAssistant Data Scientist Forecasting JobsAssistant Data Scientist Forecasting Jobs in Seattle, WA

Assistant Data Scientist Forecasting information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

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

As of Aug 24, 2026, the average yearly pay for assistant data scientist forecasting in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What does an assistant data scientist forecasting do?

An Assistant Data Scientist in Forecasting helps analyze historical data and uses statistical models or machine learning techniques to predict future trends or outcomes. Their tasks often include data cleaning, exploratory analysis, feature engineering, and supporting the development and validation of forecasting models. They work under the guidance of more experienced data scientists and may also help communicate results to stakeholders. This role is essential for businesses looking to make data-driven decisions about sales, inventory, demand, or other key metrics.

What are the key skills and qualifications needed to thrive as an assistant data scientist forecasting?

To thrive as an Assistant Data Scientist Forecasting, you need a solid foundation in statistics, data analysis, and forecasting methods, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like Python, R, SQL, and forecasting libraries (e.g., Prophet, ARIMA), as well as experience with data visualization platforms, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex results and present actionable insights. These competencies are crucial to generate accurate forecasts that guide business decisions and drive organizational success.

What are some typical challenges assistant data scientists face when working on forecasting projects?

Assistant Data Scientists in forecasting often encounter challenges such as handling incomplete or noisy datasets, selecting appropriate modeling techniques, and tuning models for accuracy. They may also need to balance competing priorities between speed and precision, especially when deadlines are tight. Close collaboration with senior data scientists and domain experts is common, as it helps ensure that forecasts are both technically sound and aligned with business goals. Developing strong communication skills is essential for presenting complex findings to non-technical stakeholders.

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

AspectAssistant Data Scientist ForecastingData Scientist Forecasting
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles may prefer a master'sMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentSupportive team, entry to mid-level projects, supervised tasksIndependent project work, complex analysis, strategic decision-making
Employer & Industry UsageTech companies, finance, retail, healthcare; entry to mid-level rolesResearch institutions, large corporations, specialized analytics teams

The Assistant Data Scientist Forecasting role typically involves supporting forecasting projects under supervision, focusing on data preparation and basic modeling. In contrast, a Data Scientist Forecasting leads complex forecasting models, interprets results, and influences strategic decisions. The roles differ mainly in experience level, scope of responsibilities, and independence.

Assistant Data Scientist Forecasting jobs near you
Infographic showing various Assistant Data Scientist Forecasting job openings in Seattle, WA as of August 2026, with employment types broken down into 7% Internship, 66% Full Time, 20% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

Data Scientist

Seattle, WA • On-site

Sidram Technologies
See more jobs at Sidram Technologiesexternal

Contractor

Re-posted 27 days ago

Job description

Hi

This is Rachael from SidRam Tech, We have an urgent position  Sr Data Scientist @Seattle, Washington, with our Direct client. Kindly have a look at JD below and let me know your interest.

Title: Sr Data Scientist

Client: Savers Inc

Location: Seattle, Washington,

Preferred Hybrid, 2 days a week- 

Skills:  Machine Learning, Azure Machine Learning, Artificial Intelligence, MLOps, AI Solution Architecture ,Microsoft Azure ,Microsoft Fabric

Interview process: Two with Tavant + Client round

Note: at least one in-person meeting is mandatory

Job Description

We are looking for a Senior Data Scientist with strong classical ML expertise to design, build, and operationalize predictive models within the Microsoft Fabric ecosystem. You will work on high-impact use cases spanning demand forecasting, risk scoring, and anomaly detection for large-scale retail environments — translating raw data signals into actionable business intelligence.

Key Responsibilities:

  • Design and develop end-to-end classical ML pipelines — from feature engineering to model deployment and monitoring
  • Build demand forecasting models leveraging external data signals (weather, events, seasonality) alongside historical sales data, at store/category/SKU level with 1–14 day horizons
  • Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing manual rule-based processes with adaptive, dynamic thresholds
  • Deliver daily prioritized outputs (investigation lists, inventory signals) that reduce detection and decision cycles from weeks to days
  • Own model validation, threshold tuning, false positive reduction, and ongoing performance monitoring in production
  • Collaborate with data engineers on feature pipelines using Microsoft Fabric Lakehouse, Dataflow Gen2, and OneLake
  • Participate in iterative pilot-to-production delivery cycles with structured feedback incorporation
  • Communicate model outputs and business impact clearly to both technical teams and business stakeholders

Required Skills & Experience:

  • 8–12 years of hands-on Data Science experience with a strong foundation in classical ML
  • Proficiency in supervised and unsupervised ML techniques — gradient boosting, regression, classification, anomaly detection, time-series forecasting (XGBoost, LightGBM, scikit-learn, Prophet, statsmodels)
  • Strong hands-on experience with Microsoft Fabric — ML Experiments, Notebooks (Python/PySpark), Lakehouse, Pipelines, and Dataflow Gen2
  • Solid Python programming skills with experience building production-grade ML code
  • Experience with MLflow for experiment tracking, model registry, and lifecycle management (native within Fabric)
  • Proven experience building time-series forecasting models at granular levels (store, SKU, or category)
  • Experience with anomaly detection and risk/fraud scoring models in retail or financial domains
  • Strong skills in feature engineering, cross-validation, model interpretability (SHAP, LIME), and drift detection

Nice to Have:

  • Experience integrating external data enrichment sources (weather APIs, economic indicators, third-party signals)
  • Familiarity with retail loss prevention, exception-based reporting, or shrinkage analytics
  • Exposure to Power BI or Fabric-native reporting for operationalizing model outputs to business users
  • Knowledge of Azure ML and its relationship with Microsoft Fabric ML capabilities
  • Experience with irregular or non-reorderable inventory environments

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com

Direct: 4705239688

Led by 25+ Years of Industry Experience

 

 

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