Data Scientist, AppStore Quality Tech
2 days ago
Appstore Quality tech team builds tools, using AI and engineering techniques to provide the best quality apps to Amazon Appstore users. We are a team of highly-motivated, engaged, and responsive professionals who enable the core testing and quality infrastructure of Amazon Appstore. Come join our team and be a part of history as we deliver results for our customers. Appstore Quality team's mission is to automate all types of functional, non-functional, and compliance checks on apps submitted by appstore app developers to enable the north star vision of publishing apps in under 5 hours. Our team uses various ML/AI/Generative AI techniques to automatically detect violations in images and text metadata submitted by developers. We are working on ambitious AI projects such as building LLM, auto navigating a mobile app to detect inside app issues and violations. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders, and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment. This role involves working closely with Sr Data Scientist, Principal engineer, and engineering team to build ML and AI-based solutions in meeting our north star vision. Key job responsibilities Implement statistical methods to solve specific business problems utilizing code (Python, Scala, etc.). Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Collaborate with program management, product management, software developers, data engineering, and business leaders to provide science support, and communicate feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models. Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance. Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations. Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology. Excellent prompt engineering skillset with a deep knowledge of LLMs, embeddings, transformer models. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. About the team In Appstore, “We entertain, and delight, hundreds of millions of people across devices with a vast selection of relevant apps, games, and services by making it trivially easy for developers to deliver”. Appstore team enables the customer and developer flywheel on devices by enabling developers to seamlessly launch and manage their apps/in-app content on Amazon. It helps customers discover, buy and engage with these apps on Fire TV, Fire Tablets, and mobile devices. The technologies we build on vary from device software, to high scale services, to efficient tools for developers. BASIC QUALIFICATIONS 4+ years of data scientist experience 4+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree Posted: June 10, 2024 Posted: May 22, 2024 Posted: July 3, 2024 Posted: June 20, 2024 Posted: February 12, 2024 Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr
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Data Scientist with Forecasting Experience
1 week ago
Seattle, United States SysMind Tech Full timeRole: Data Scientist with Forecasting Experience Location:- San Jose, CA Seattle, WA( Initial Remote) Duration: Fulltime Key Responsibilities: - Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions. - Translating business questions and concerns into specific quantitative questions...
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Data Scientist with Forecasting Experience
1 week ago
Seattle, United States SysMind Tech Full timeRole: Data Scientist with Forecasting Experience Location:- San Jose, CA Seattle, WA( Initial Remote) Duration: Fulltime Key Responsibilities: - Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions. - Translating business questions and concerns into specific quantitative questions...
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Data Scientist with Forecasting Experience
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Seattle, United States SysMind Tech Full timeRole: Data Scientist with Forecasting Experience Location:- San Jose, CA Seattle, WA( Initial Remote) Duration: Fulltime Key Responsibilities: - Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions. - Translating business questions and concerns into specific quantitative questions...
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Seattle, United States The Trade Desk Full timeData scientists at TTD work closely with engineeringthroughout the lifecycle of the product, from ideation to productionization and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders. We are looking for a...
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Lead Data Scientist
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Seattle, WA, United States Amazon Full timeSr. Language Data Scientist, Alexa International Tech Job ID: 2799518 | Amazon.com Services LLC Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive sr language data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative...
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Seattle, WA, United States Amazon Full timeSr. Language Data Scientist, Alexa International Tech Job ID: 2799518 | Amazon.com Services LLC Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Sr. Language Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative...
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Seattle, WA, United States Amazon Full timeSr. Language Data Scientist, Alexa International Tech Job ID: 2797940 | Amazon.com Services LLC Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Sr language Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative...
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Seattle, WA, United States Amazon Full timeSr. Language Data Scientist, Alexa International Tech Job ID: 2799518 | Amazon.com Services LLC Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Sr. Language Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative...
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Seattle, United States Amazon.com Inc Full timeThe Data Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing, evaluating and deploying solutions based on large pretrain Data Scientist, Scientist, Computer Science, Data Science, Business Analytics, Customer Service
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Seattle, WA, United States Amazon Full timeSr. Language Data Scientist, Alexa International Tech Job ID: 2797940 | Amazon.com Services LLC Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Sr Language Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative...
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Seattle, WA, United States Amazon Full timeSr. Language Data Scientist, Alexa International Tech Job ID: 2797940 | Amazon.com Services LLC Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Sr language Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative...
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Data Scientist
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Seattle, United States Intelliswift Full timeJob ID: 24-05809 Pay rate range - $80/hr. to $85/hr. on W2 Hybrid will need to come into the office as needed, the rest of the work can be done at home. Must Have Ph.D. in Statistics, Computer Science, or related quantitative field Minimum of 5 years experience as a data scientist Required skills: SQL, Python Leadership Principles - Dive Deep, deliver...
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Seattle, Washington, United States Rokt Full timeRokt, a pioneering e-commerce company, seeks an exceptional Transformational Data Scientist Lead to spearhead its AI-driven platform. As part of our dynamic engineering team, you will be responsible for designing and productionizing proprietary machine learning models to tackle complex business challenges.OverviewAt Rokt, we foster a culture of innovation...
