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Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. As a Data Scientist, you will evaluate and improve Google's products.
$172,000 - $263,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years experience working in data engineering, business intelligence, or a similar role. We are looking for a Staff Data Engineer for our Data Science and Engineering team.
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We are building the next generation of technology and service platforms to bring student transportation into a new age while enabling equity, innovation, efficiency, and sustainability. We are a well-funded Series E (1.3B Valuation) company backed by top global VC firms.
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Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. This is a data science role based in our headquarters in Palo Alto.
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At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, a Flexible Spending Account (FSA), a Health Saving Account (HSA), and special wellness programs.
$183,000 - $232,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Technical Solutions Engineer, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. Be a thought leader in machine learning (ML) operations helping customers proactively.
$117,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep experience as a hands-on Data Engineer building production data pipelines. We are seeking a Sr./Staff Data Engineer to build and own critical data pipelines.
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As a Senior Data Scientist in Region Flexibility, you will work to enable Amazon businesses to leverage new AWS regions and improve the efficiency and scale of our business. RFE is looking for a passionate, results-oriented, inventive Senior Data Scientist to refine and deliver our grand vision, design and influence technical solutions for regional placement automation, cross-region libraries, and tooling useful for teams across Amazon.
$143,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Koko Home is seeking a Data Pipeline Engineer to develop and maintain data pipelines from our IoT devices all the way to our model building infrastructure. Proficient in Linux/Unix data workflows, hands on experience in large scale data processing for ML applications a requirement.
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Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence. Proven experience as a Technical Lead or Manager, preferably in LLMs or related fields.
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Paradyme Management is hiring a Data Scientist /ML Engineer to support mission critical programs. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact Rose Luczak, Director of People Operations at or at (571) 289-0548.
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At least 3-5 years of proven experience as a Data Analyst, Data science or Data engineering. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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A Strategy and Value Management (SVM) Initiative, set up to drive these efforts, requires a Data and Visualization Analyst to support the overall SVM Lead and Project Managers, focusing on data gathering, transformation, analysis, and visualization of financial and operational data for executive and field decision making.
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We seek a talented Lead Data Engineer to play a pivotal role in enhancing our platform’s performance advertising capabilities. Bachelor’s or Master’s in Computer Science, Data Science, or a related field.
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MINIMUM REQUIREMENTS: Master’s degree or U.S. equivalent in Computer Science, Statistics, Math, Data Science, Engineering, or a related field., plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, Machine Learning Research Scientist, or any occupation/position/job title involving statistical modeling, machine learning, and probability distributions.
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a job Title: data in Stanford, CA
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