Top Data Science Jobs in Seattle, WA
The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
Develop and test pricing strategies for consumer lending products to optimize profitability. Build reporting pipelines, dashboards, and data architecture. Analyze customer behavior and present insights to business leaders. Utilize machine learning software and algorithms for model performance and monitoring.
Partner with business leaders to address business challenges using predictive analytics, improve data collection and quality, align analysis efforts with business strategy, and implement statistical and machine learning models.
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Develop and enhance models and algorithms for fulfillment operations, collaborate with cross-functional teams to achieve business goals, provide expertise and mentorship to junior data scientists, and communicate proposals and solutions to stakeholders.
As a Senior Data Scientist at Cash App in the Health organization, you will partner with various teams to analyze large datasets, design experiments, build metrics, and communicate insights to drive strategy and decision-making. The role requires expertise in SQL, data visualization tools, and programming languages like Python or R.
As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.
Join Chewy's Supply Chain Forecasting Analytics team in Bellevue, WA as a Data Scientist II. Partner with demand planning and supply planning to provide accurate forecasts using statistical models and machine learning tools. Drive continuous improvement in forecasting processes and shape strategic supply chain decisions using BI solutions.
Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, managing core operational metrics, advising senior stakeholders, building processes to root out high-risk activity, and preventing fraud. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and partnering with cross-functional teams to develop solutions. Qualifications include a degree in a quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, and Looker, strong statistics knowledge, and experience with machine learning model development.
Build and lead a team of data scientists to partner with marketing, sales, and product teams to optimize marketing strategies, grow revenue, and launch high-impact initiatives. Develop predictive models, automate reporting, analyze marketing performance, and drive data-informed decision-making for a SaaS company.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable solutions for AI-powered work experiences. Champion AI strategies and industry trends to shape the direction of AI-driven initiatives at ServiceNow.
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