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Amazon
Palo Alto, CA, United States
Description The Amazon Search Relevance team is responsible for helping customers find relevant products that exceed their expectations in terms of price, quality, and convenience. Our goal is to make shopping easy and enable customers to shop with confidence. The Search Relevance Data Science team helps with the goal by deeply understanding custo
Job Source: AmazonAmazon
Palo Alto, CA, United States
Sr. Data Scientist, Search Experimentation and ML The Amazon Search Relevance team is responsible for helping customers find relevant products that exceed their expectations in terms of price, quality, and convenience. Our goal is to make shopping easy and enable customers to shop with confidence. The Search Relevance Data Science team helps with
Job Source: AmazonRobinhood
Menlo Park, CA, United States
About the team + role Insights from data power most decisions at Robinhood. Data Scientist here works with other data scientists and engineers to collect, organize, and analyze data from all parts of our business to power these decisions. Every decision made at Robinhood is backed by data. Our company trajectory is defined by the systems, tools,
Job Source: RobinhoodRobinhood
Menlo Park, CA, United States
Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Togethe
Job Source: RobinhoodRobinhood
Menlo Park, CA, United States
Join a leading fintech company that’s democratizing finance for all. Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that
Job Source: RobinhoodBioFire Diagnostics
San Jose, CA, United States
bioMérieux is a pioneering force in the medical microbiology device industry. Our cutting-edge technologies have been transforming healthcare and improving patient outcomes. We are seeking a highly skilled Automation and Verification Engineer to join our dynamic team, driving robustness of hardware, software, firmware, and algorithms into systems t
Job Source: BioFire DiagnosticsLucid Motors
Newark, CA, United States
Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in
Job Source: Lucid MotorsLemonaid Health
Sunnyvale, CA, United States
Strategic Planning & Analytics Sr. Data Scientist, Product Analytics Sunnyvale, California, United States 23andMe is seeking an exceptional, highly collaborative Sr. Data Scientist to join our Business Analytics team. The successful candidate will bring excellent analytical skills and a great track record of applying them to improve the consume
Job Source: Lemonaid HealthPalo Alto
Description
The Amazon Search Relevance team is responsible for helping customers find relevant products that exceed their expectations in terms of price, quality, and convenience. Our goal is to make shopping easy and enable customers to shop with confidence. The Search Relevance Data Science team helps with the goal by deeply understanding customer interactions with Search, and helping translate those understandings into insights. Teams within Search and outside use these insights to build a delightful search experience for Amazon customers WW.
The Data Science team works on metrics, analysis, and insights that inform Amazon’s leaders on how the largest discovery platform for retail, viz. organic search, is performing.
Key job responsibilities
You will build key analyses, dashboards, and reports that help Search Relevance team understand the short- and long-term impact of their weblabs. You will collaborate with DS, AS, Economists, and PMs to help understand the levers that drive the search experience.
You will be responsible for calling out and explaining movements in key business and customer metrics in monthly and quarterly business reviews. You will have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis.
You will proactively and independently work with stakeholders to construct use cases and associated standardized outputs. You will translate difficult business problem statements into analysis requirements and maintain a high bar throughout the execution.
You will actively manage the timeline and deliverables of projects, focusing on interactions in the team, and communicate roadblocks to stakeholders and propose solutions to overcome those roadblocks.
A day in the life
Our team is a mix of AS, DS, and SDEs, focusing on problems in search relevance. We spend our time in building ML models, building metrics and tools to better understand them offline and online, and running experiments. We take care in communicating our results broadly, informing and educating a large variety of stakeholders.
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA
Basic Qualifications
- 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
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Experience working with scientists, economists, software developers, or product managers
Preferred Qualifications
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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. For individuals with disabilities who would like to request an accommodation, please visit mazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Email Alert for Sr. Data Scientist, Search Experimentation and ML_ jobs in Palo Alto
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