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Google Inc.
Mountain View, CA, United States
Principal Data Scientist, Gemini Core Modeling and Evaluations corporate_fare Google place Mountain View, CA, USA bar_chart Director+ Apply Bachelor's degree in Machine Learning, Data Science, Information Management, Computer Science, or other Engineering discipline, or equivalent practical experience. 15 years of experience in data sc
Job Source: Google Inc.Mountain View, CA, United States
Minimum qualifications: Bachelor's degree in Machine Learning, Data Science, Information Management, Computer Science, or other Engineering discipline, or equivalent practical experience. 15 years of experience in data science or other quantitative fields such as: statistics, machine learning, software engineering, or ML engineering. Experien
Job Source: GoogleAt-Bay
San Francisco, CA, United States
USE YOUR DATA MODELING EXPERIENCE TO HELP DRIVE INFORMED BUSINESS DECISIONS Why you should join our Modeling team: As a Principal Data Scientist on the Modeling team, you will work under the Risk function alongside talented team members in pricing, risk analytics, and decision engines, while closely collaborating with the Cyber Research, Insuranc
Job Source: At-BayLegalZoom
Mountain View, CA, United States
Description About LegalZoom We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after lo
Job Source: LegalZoomAlldus
Palo Alto, CA, United States
About the Role My client is a dynamic startup in the early stages, focused on creating an AI-driven platform designed to revolutionize organizational efficiency and team collaboration. They are well funded and founded by two leaders with a great track record with founding successful startups. By leveraging state-of-the-art AI, machine learning, and
Job Source: AlldusWalmart
San Bruno, CA, United States
Position Summary... What you'll do... As the Principal Data Scientist, Marketing Data Science , you will lead the development of world-class analytics within the Walmart US Marketing team. You and your team are responsible for providing insights about retail and product marketing performance and optimization opportunities for our marketers, produ
Job Source: WalmartHP
Palo Alto, CA, United States
Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Workforce Employee Experience (HP WEX) team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portf
Job Source: HPKandji
San Francisco, CA, United States
About Kandji Kandji is the Apple Device Management and Security Platform. Kandji empowers companies to manage and secure Apple devices in the enterprise and at scale. By centrally securing and managing Mac, iPhone, iPad, and Apple TV devices, IT and InfoSec teams can save countless hours of manual, repetitive work with features like one-click compl
Job Source: KandjiSan Mateo, CA, United States
Build the future of data. Join the Snowflake team.
The Product Data Science team is looking for a Principal Full-stack Data Scientist to come aboard and be part of some of the foundational areas at Snowflake. In this role, you will work closely with our Product and Engineering teams on core operations and data privacy, security, and governance domains. You will also work on long-running analytical initiatives that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.
AS A PRINCIPAL FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:
Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
Architect efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
Build scalable and extensible analytics/ML frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.
OUR IDEAL CANDIDATE WILL HAVE:
MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
12+ years of relevant data science or related experience.
Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.
The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $180,000 - $276,000.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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Email Alert for Principal Data Scientist - Core jobs in San Mateo, CA, United States
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