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Top Data Science Jobs in Seattle, WA
Artificial Intelligence • Hardware • Information Technology • Internet of Things • Software
The Senior Staff Scientist will lead the development of hybrid AI applications on quantum computers, collaborate across teams to optimize algorithms, and represent IonQ at conferences. The role requires expertise in quantum AI applications and significant experience in algorithm development and business problem-solving.
Top Skills:
CirqCuda-QHugging FaceJuliaMatlabPenny LanePythonQ#QiskitRTensorFlowTorch Quantum
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Data Scientist at Atlassian, you will analyze data to derive insights about products and customers, collaborate with cross-functional teams, and influence strategy through data-driven recommendations. You will develop hypotheses, apply statistical concepts, and measure the impact of product efforts using forecasting and key metrics analysis.
Top Skills:
PythonRSQL
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Data Science Manager, you will lead the development lifecycle of innovative ML-based enterprise products. This role involves researching AI algorithms, architecting data products, solving complex cross-functional problems, and engaging with clients. You'll also lead a hybrid team of scientists and engineers to deliver transformative AI solutions.
Top Skills:
Python
Featured Jobs
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Senior Applied Scientist at Chewy, you will develop machine learning models to enhance the advertising ecosystem. You will influence technical strategies for ads relevance, prediction, and optimization, lead projects from ideation to production, and mentor junior scientists. Collaboration with Product and Engineering leaders to improve advertising offerings and customer engagement is essential, along with sharing research insights and recommendations with leadership.
Top Skills:
Deep LearningMachine LearningPredictive Modeling
Fintech
The Data Scientist role involves leveraging large data sets to optimize processes, utilizing data mining methods, building models, developing algorithms, and creating simulations. Candidates must write production-ready code and independently manage data analysis, collaborating with various stakeholders to drive business results.
Top Skills:
PythonRSQL
Productivity • Software
As a Sr. Revenue Operations Analyst, you will support the Go to Market organization by defining strategies for customer excellence through data analysis. You will work with senior leadership to inform decisions, create reporting infrastructure, present insights, and mentor junior analysts.
Top Skills:
SQL
Big Data • Software
Develop and optimize Large Language Model solutions for customers, build ML pipelines, provide technical mentorship, and collaborate across teams to influence product strategy.
Top Skills:
Generative AiLarge Language ModelsMachine Learning
Other
As a Senior Research Scientist/Data Scientist, you'll shape video content risk inspection systems using computer vision, deep learning, and machine learning techniques. You'll develop predictive models for video data, collaborating on innovative solutions and working with software development to enhance platforms for customer experience.
Top Skills:
C++JavaMatlabPythonR
AdTech • Big Data • Consumer Web • Digital Media
The Senior Data Scientist will develop and deploy machine learning solutions to advance data science capabilities, enhance personalization, and improve monetization models. Responsibilities include building scalable ML models, collaborating with cross-functional teams, and mentoring junior data scientists.
Top Skills:
PythonSQL
Automotive • Mobile
As a Senior Data Scientist specializing in Machine Learning at Lyft, you will develop algorithms and mathematical models to optimize rideshare supply and demand, driving decisions with data. You will collaborate with cross-functional teams, conduct exploratory data analysis, and implement algorithms in production, playing a key role in enhancing product offerings and user experiences.
Top Skills:
Python
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