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Top Data & Analytics Jobs in Seattle, WA
eCommerce • Mobile
The Director of Data Science will lead the Revenue Analytics team, focusing on data-driven decisions to enhance revenue across the company. Responsibilities include team building, strategic vision development, report building, and cross-functional leadership to identify business goals and generate insights.
Top Skills:
PythonRSQL
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Decision Analytics Consultant, you will leverage your quantitative skills and advanced data analytics to address client business questions, develop data-driven solutions, and communicate findings effectively. You'll work collaboratively with clients to understand their needs and analyze relevant data to support their goals.
Top Skills:
RSASTableauVBA
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Principal Data Scientist at Atlassian will collaborate with cross-functional teams to drive insights about products and customers, applying quantitative analysis and statistical concepts to enhance business strategies. Responsibilities include developing strategies through data analysis, measuring product success, and influencing product roadmaps with data-driven recommendations.
Top Skills:
PythonRSQL
Featured Jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Data Engineer, you will work with cross-functional teams to develop scalable ETL pipelines, manage data warehousing solutions, ensure data integrity, and implement security practices for data handling. You'll own parts of the team roadmap and communicate complex technical projects to stakeholders.
Top Skills:
JavaPythonScalaSQL
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
The Director of Data Analytics will lead the analytics strategy to enhance subscription products at GoodRx. This role involves managing a team, optimizing customer engagement and retention, designing analytics models, and partnering across teams to deliver insights that drive business growth in a consumer-facing environment.
Top Skills:
PythonRSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Google Cloud Data Engineer at PwC will design and implement data architecture, develop data pipelines, and lead projects utilizing Google Cloud services. The role involves mentoring and coaching team members while ensuring data governance and compliance, and managing client relationships effectively.
Top Skills:
DatabricksGoogle Cloud PlatformHadoopKafkaQuickbaseSnowflakeSparkSQLTerraform
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Machine Learning Engineer II, you will design and deploy advanced AI solutions for HR, mentor junior team members, and ensure the scalability and business alignment of AI products. Responsibilities include unstructured data analysis, collaborating with data scientists, productionizing research, and monitoring AI models.
Top Skills:
Python
Artificial Intelligence • Information Technology • Natural Language Processing • Software • Business Intelligence • Generative AI
In this role, you will develop partner-agnostic programs to help partners and customers realize value, manage KPIs for the partner organization, educate partner teams, and drive organizational excellence to enhance the partner experience.
Top Skills:
Salesforce
eCommerce • Fintech • Payments • Software • Financial Services
As a Fraud Data Analyst at Remitly, you will analyze fraud data and create metrics to balance risk with performance while collaborating with product and business leaders. Your role will involve designing experiments, conducting analyses, and generating insights to improve the Lending product.
Top Skills:
PythonRSQL
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech
Lead a dynamic research team to enhance a 3D organoid CRISPR-based screening platform. Develop methodologies for high throughput evaluations, streamline insights generation through bioinformatics, and foster partnerships for innovative oncology models.
Top Skills:
Crispr
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