Cake 求人検索

COMMEET (https://commeet.co) 擴大徵才，歡迎有熱情之新夥伴加入我們的行列[工作內容]1 整理、標記數據，以確保數據的準確性與可靠性2 建立/維護/優化資料處理流程與架構(data pipeline)3 跟相關的stakeholder合作，解決並優化他們的數據需求4 其它主管交辦事項。

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree). 8 years of experience with data science and analytics in a technology or supply chain company. Experience in data model and data insight transformation. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 4 years of experience as a people manager within a technical leadership role. Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights. Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. About the jobHelp 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 mission of Cloud Supply Chain Data (CSCD) Data Science and Product team is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help CSCD define and achieve business goals. We help make Google Cloud supply chain and Data Centers by enabling data-informed decision making and product innovation.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Manage Bengaluru Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team. Lead a portfolio of programs in developing ML/Statistical models, conducting diagnostic analytics research, crafting prescriptive insights. Guide problem framing, metrics development, data extraction and manipulation, visualization, and story telling for the team. Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and define operational goals and objectives. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years work experience with a Master's degree. Preferred qualifications: Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with conceptualizing and implementing scalable data pipelines. Experience with statistical packages (e.g., R, Python, etc.) to perform forecasting, segmentation, and classification. Knowledge of basic statistics and commonly used statistical methods (e.g., hypothesis testing, regression, cohort analysis, etc.). Strong data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations. About the jobHelp 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. Developer and Sustainability team’s mission is to apply data science to enable Geo in driving developer growth and planetary sustainability. We enable driven decision making across the Geo Makers organization (made up of Geo Developer and Geo Sustainability areas) to influence strategy, drive impact and unlock sustainable product growth.Responsibilities Lead the transformation of our self-serve analytics platform by introducing new metrics and drill downs to assist with self-serve diagnostics at scale, and driving integrations with GenAI tooling (NotebookLM, SQLMiner) to scale insight generation capabilities. Utilize technology to address new problem areas with segmentation analysis, recommender systems and GenAI applications. Build self-serve tooling and dashboarding to enable data driven decision making across the organization at scale. Collaborate on in-depth analytical projects, uncover insights and evaluate headroom to drive product enhancements which improve our developer experience. Surface insights around emerging markets (India and other APAC countries) that help teams understand users and guide global data improvement strategy. Design, execute and analyze experiments to evaluate growth levers and regional launches. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the roleWe’re looking for a Data Scientist to turn data into insights and production-ready solutions. You’ll partner with product, engineering, and business teams to frame problems, build models and analyses, and translate results into measurable impact.What you’ll do- Identify and integrate new internal or external datasets to enhance product capabilities and business insights.- Collaborate with engineering teams to support the development and deployment of scalable data products.- Conduct analytical experiments to address complex problems across different domains and industries.- Source and collect large volumes of structured and unstructured data based on client or business needs.- Develop and apply algorithms and models to extract value from big data, including error analysis and performance tuning.- Clean, validate, and transform data to ensure consistency, accuracy, and usability across pipelines.- Analyze data for trends and patterns, and translate findings into actionable insights with clear business objectives.

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.About the Role:We are seeking a dynamic and strategic Data Product Manager to bridge the gap between product innovation and data-driven insights. This role is responsible for defining and executing a data strategy that enhances our product offerings, optimizes decision-making, and drives business growth. You will work closely with cross-functional teams—including product, engineering, data science, and analytics—to ensure that data is at the heart of our product strategy and execution.Responsibilities:Understand product values and feature details to translate them into precise data requirements.Prioritize the product-related data requests backlog to align with product strategic objectives.Address gaps in our data ecosystem by defining tracking specifications and ensuring successful implementation and launch.Comprehend the meaning of data and clearly explain its context and significance to the data team for effective analysis.Initiate data insight projects with the data team for internal sharing and continuous product improvement.Qualifications:5+ years of experience in product management, data analytics, or a related role with a proven track record of integrating data insights into product strategy.Strong analytical mindset with the ability to interpret complex data and translate it into actionable strategies.Ability to effectively communicate technical insights to non-technical stakeholders.Solid understanding of database structures and design principles.Excellent problem-solving skills with a keen attention to detail.Bonus Points:Experience in the blockchain or financial technology industry.Background in data analysis or data science.Perks Benefits:Competitive salary and benefits package.Opportunity to work in a fast-paced and innovative environment.Be part of a growing and dynamic team.Make a real impact on the company's success.Various team building programs and company events.Comprehensive healthcare schemes for employees and dependants.And many more! Apply and let us tell you more!#LI-YS1

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques What You’ll Bring: Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas Good academic record Familiar with modeling, data structures, algorithms and optimizations Strong knowledge of machine/deep learning algorithms Proficient in programming languages of both C++ and Python Possess good communication and presentation skills in English Ability to work independently and as member of a team Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart a self-starter Detail oriented and capable of multitasking and delivering in fast-paced work environment As a plus: While not mandatory, a strong interest in financial markets will definitely be beneficial Participant of ACM-ICPC By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Growth Marketing Center (GMC) Growth plays a crucial role in shaping and driving the development of the MoMo platform by integrating multiple products/features across the MoMo ecosystem (instead of focusing on a single product group). From a holistic platform-wide perspective, GMC approaches growth challenges from diverse angles and leverages data and resources from various specialties—including marketing/campaigns, product development, data analytics, merchant network, and finance—to attract and sustain user trust and relationships on MoMo. GMC Retention is a “full-stack growth team,” bringing together expertise in growth marketing, data, and corporate finance, while optimizing different growth levers—such as user analysis/surveys, product experimentation, marketing communications campaign planning and execution, and financial strategies. The team’s mission is to translate the CEO’s strategic priorities into concrete actions and measurable business outcomes.Mô tả công việcBuild, develop and maintain automated dashboards to monitor performance metrics;Monitor data quality to ensure data sources are reliable and relevant for the team’s purposes; prepare data for advanced analytics (e.g. machine learning)Directly take charge of coming up with and delivering high-quality, actionable business analyses of MoMo’s products users: including operational analytics (e.g. campaign performance), funnel analyses, user segmentation, user behavior, channel analyses;Collaborate with other teams (e.g. Growth, Finance, Product, Tech) to follow through on the implementation of growth initiatives, including data-related work to support operations, performance measurement, reporting analysesYêu cầu công việc1 - 3 years of experience;Bachelor’s or Master's degree in a quantitative discipline (e.g., Economics, Statistics, Data Science, Computer Science);Strong work ethics and intellectual curiosity;Excellent analytical skills and problem-solving aptitude;High attention to detail;Experience writing complex queries in SQL (working experience with BigQuery is a plus);Experience with Python/ machine learning is a plus;Effectively collaborate within a team as well as work independently.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience. 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree. Preferred qualifications: 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree. Experience with data, metrics, analysis and trends with the knowledge of measurement, statistics and program evaluation. Ability to learn about Supply Chain Operations. Excellent problem-solving and business judgment skills. About the jobThe Cloud Supply Chain Data (CSCD) Data Science and Product team build productivity and data products, develop Artificial Intelligence (AI)/Machine Learning (ML)/statistical models and provide insights to help Cloud Supply Chain and Operations (CSCO) define and achieve business goals.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud Supply Chain and Operations. Deliver investigative problems with guidance structuring approach and conduct exploratory data analysis, inform model design, and development. Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems by selecting better methods or tools. Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master’s or Ph.D. degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.) 5 years of experience in a large-scale data analysis or data science setting, including abuse and fraud disciplines, with a focus on web security, harmful content moderation, and threat analysis. Experience in scripting languages (e.g., C/C++) with proficiency in programming languages (e.g., Python, Julia, etc.) and database languages like SQL. Experience with prompt engineering and fine-tuning LLMs. Proficiency in applying machine learning techniques to large datasets. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The AI Safety Protections team within Trust and Safety develops and implements cutting-edge AI/LLM-powered solutions to ensure the safety of generative AI across Google's products. This includes safeguards for consumer products, enterprise offerings (e.g., Vertex AI), on-device applications, and foundational models (e.g., Gemini, Juno, Veo, etc.) in collaboration with Google DeepMind. We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI and addressing real-world safety with LLM/AI technology (e.g., imminent threat, child safety, etc.).As a member of our team, you will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing cutting-edge AI technologies, and protect the world from real-world harms.This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.Responsibilities Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques. Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement. Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership. Develop automated data pipelines and self-service dashboards to provide timely insights at scale. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods. Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve problems. Ability to present to executives and communicate effectively with highly technical leadership teams. Ability to manage multiple assignments simultaneously in a fluid environment. About the jobHelp 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. Responsibilities Work with large, internal datasets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations. Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements. Develop, own and evolve investigative frameworks providing source of truth measures for the organization. Conduct analysis on opportunities and risks, enabling the team to understand trends and prioritize resources. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.