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Meta
Sunnyvale, CA, United States
Meta Analytics Operations protects people and businesses and preserves voice and economic opportunity for the people and businesses that use Meta's platforms. As a horizontal analytics team, the Financial Efficiency Data Analytics team enables Global Operations to make data-informed decisions by serving as analytics thought-partners to solve operat
Job Source: MetaUST
Santa Clara, CA, United States
Role Description Data Science Engineer Associate III - Data Science Who We Are Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
Job Source: USTAdobe
San Jose, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeZoox
Foster City, CA, United States
In this role, you will have the opportunity to work with real-world driving data from self-driving vehicles and collaborate with key stakeholders to improve the performance of our autonomous driving systems. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing
Job Source: ZooxSynopsys
Mountain View, CA, United States
Sr Business Data Analyst 49997BR USA - California - Mountain View/Sunnyvale Job Description and Requirements Position Overview: We are seeking a skilled Sr Business Data Analyst to join our Business Intelligence and Analytics team within the Corporate Strategy organization. This role requires a combination of analytical competency, strategic thin
Job Source: SynopsysLaksan Technologies
Santa Clara, CA, United States
Job Description Job Description Sr DS lead. Job Requirements 1. A minimum of 7 years of experience in data science, with a proven track record of delivering impactful data-driven solutions. 2. In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. 3. Strong programming skills in languages suc
Job Source: Laksan TechnologiesApple, Inc.
Sunnyvale, CA, United States
Summary Posted: Jun 21, 2024 Role Number: 200550574 Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a bel
Job Source: Apple, Inc.Apple
Sunnyvale, CA, United States
Data Science Engineer Sunnyvale,California,United States Software and Services Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because e
Job Source: AppleSunnyvale
Minimum qualifications:
+ Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
+ 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
+ 3 years of experience managing analytical projects.
Preferred qualifications:
+ 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
+ 3 years of experience working in a complex, matrixed organization.
+ 1 year of experience preparing and delivering technical presentations to executive leadership.
+ Experience supporting projects for cloud infrastructure.
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
+ Partner with Engineering, Operations and Data Science teams across Technical Infrastructure to drive data alignment across fleet utilization data marts.
+ Generate data-driven, intuitive, actionable insights and business recommendations to (VP-level) decision makers on key drivers of fleet utilization by product areas.
+ Drive the creation of production-grade data analytics and optimization pipelines in partnership with Software Engineering teams.
+ Develop statistical model based recommendations to right size efficiency goals.
+ Leverage your data science and leadership skills to solve ambiguous optimization problems across different infrastructure domains.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also oogle.com/eeo/ and oogle.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: l/forms/aBt6Pu71i1kzpLHe2.
Email Alert for Data Science, Fleet Efficiency Metrics_ jobs in Sunnyvale
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