Top Data Science Jobs in Spokane, WA

Lead development and evolution of forecasting assets using statistical, ML, and AI-driven methods. Own model development, feature engineering, EDA, ensemble and hierarchical forecasting, and evaluation. Integrate foundation models and deep learning where beneficial, collaborate with stakeholders to drive measurable impact, and support deployment and operationalization of forecasting solutions within a shared Center of Excellence.

As a Senior Data Scientist, analyze healthcare data to improve health outcomes, develop reports and dashboards, and collaborate across teams to leverage genomic data for health insights.

The role involves building and validating Marketing Mix Models and geo-experiments, managing measurement infrastructure, and communicating insights to stakeholders.

Design and validate clinical and biomarker data pipelines, perform source-to-target mappings (e.g., EHR to data model), extend ontologies and vocabularies, ensure data quality, evaluate informatics tools, and support data architecture and analysis workflows for a regulatory-grade platform.

Lead development of digital twin and simulation models for warehouse operations, deploy AI-driven decision systems, build forecasting and optimization models, validate experiments linking operational metrics to financial impact, and partner with engineers, operations, and external AI/academic partners to scale innovations across fulfillment networks.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

Design, develop, and deploy time-series and machine-learning forecasting models (ARIMA, SARIMA, ETS, XGBoost, LightGBM) for demand planning, inventory, and sales forecasting. Perform large-scale SQL data processing, operationalize models in cloud environments (Azure preferred), present insights, and lead client workshops.

Develop, validate, and implement econometric and predictive credit risk models. Extract, clean, and analyze large datasets from relational and datalake sources. Monitor, backtest, and troubleshoot model performance, ensure adherence to credit policy, collaborate with business partners, document models, and support deployment including third-party vendor solutions.

Partner with pricing and product teams to develop, implement, and maintain pricing and demand models. Lead predictive modeling, optimization, back-testing, and performance monitoring. Translate business problems into analytical solutions, collaborate with Finance on forecasting and profitability, and communicate findings to stakeholders while ensuring model governance and production readiness.

As a Principal Data Scientist, you'll drive data-driven strategies across Growth and Membership Operations, integrating AI tools and managing complex data systems to enhance operational performance.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Principal Data Scientist Consultant will develop and maintain clinical datasets using R, ensure CDISC compliance, generate reports, and contribute to internal tools while collaborating with clinical teams.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

As a Senior Data Scientist, you will design and deploy machine learning and graph algorithms to enhance identity trust solutions, own end-to-end projects, and collaborate with product and engineering teams to improve KYC and compliance products.

The Principal Data Scientist will lead measurement strategy for Zillow's advertising business, focusing on ad performance, experimentation, and data-driven decision-making to drive revenue growth and advertiser value.

Lead the design and deployment of machine learning and graph-based systems for international identity verification, ensuring compliance and addressing regional challenges.

The Senior Data Scientist will design ML-based entity resolution systems, build and refine NLP and ML models, and translate model results into business impact while supporting data strategy and improving data pipelines.

The Senior Data Scientist in Conversational AI & NLU designs and optimizes AI solutions, evaluates models, collaborates with stakeholders, and analyzes conversational data to improve user experience.

Lead the development and deployment of advanced ML/AI products, mentoring teams and collaborating with stakeholders to influence business outcomes.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

The Senior Data Scientist at Fetch will develop and scale data science capabilities, architect predictive models, and influence product strategy through collaboration and experimentation. They will lead initiatives focused on engagement, churn, and business impact measurement using advanced analytics and machine learning tools.