滴滴AI-Onboard & Toolchain(1)数据开发实习生
任职要求
1. 计算机、车辆、交通、统计学、数学等相关专业教育背景,良好的机器学习、统计学、数学知识; 2. 具有数据分析、挖掘经验,具有数据分析和解释能力,熟悉数据对模型表现…
工作职责
深入理解自动驾驶算法逻辑,从大规模数据集中挖掘高价值驾驶场景和行为数据,以数据驱动的方式加速自动驾驶算法的迭代。与研发和测试工程师紧密合作,开发数据分析的框架、流程和工具,形成规范、高效、自动化的数据分析闭环: 1. 与算法研发工程师合作,通过数据驱动的方式挖掘自动驾驶算法需要关注的关键场景和高价值数据,参与算法迭代; 2. 整合研发和测试侧多种数据需求,确定分析和实施方案,构建数据应用工具,开发和维护相关报表和监控; 3. 构建数据存取、数据分析和可视化等一系列工具,让分析流程的更高效,更自动,更用户友好。
• Identify and onboard supplier partners capable of producing high quality products for Amazon Private Brands. This includes understanding business development and product development needs, analyzing existing supplier capability opportunities and gaps, conducting global supplier landscape analyses, know tariff implications, based on industrial insights and global supply chain expansion trends. • Exploration and Implementation of Gen AI solutions to automate supplier selection process. This includes learning the end-to-end sourcing process from supplier identification to the product development cycle, translating the supplier selection criteria and framework into an organized data flow, exploring Gen AI solutions and automation solutions with APB tech team to automate the supplier selection process from lead identification, pre-screening, supplier outreach, supplier profile collection and initial evaluation to qualifying the supplier. • Lead the new vendor onboarding (NVO) process to qualify and onboard new suppliers into WW Amazon supplier pool. This includes following a standardized process to pitch and qualify the new suppliers with a due diligence check, Social Responsibility and Factory Quality audits, supporting them to get familiar with Amazon Private Brands’ product development and management systems and mechanisms.
• Identify and onboard supplier partners capable of producing high quality products for Amazon Private Brands. This includes understanding business development and product development needs, analyzing existing supplier capability opportunities and gaps, conducting global supplier landscape analyses, know tariff implications, based on industrial insights and global supply chain expansion trends. • Exploration and Implementation of Gen AI solutions to automate supplier selection process. This includes learning the end-to-end sourcing process from supplier identification to the product development cycle, translating the supplier selection criteria and framework into an organized data flow, exploring Gen AI solutions and automation solutions with APB tech team to automate the supplier selection process from lead identification, pre-screening, supplier outreach, supplier profile collection and initial evaluation to qualifying the supplier. • Lead the new vendor onboarding (NVO) process to qualify and onboard new suppliers into WW Amazon supplier pool. This includes following a standardized process to pitch and qualify the new suppliers with a due diligence check, Social Responsibility and Factory Quality audits, supporting them to get familiar with Amazon Private Brands’ product development and management systems and mechanisms.
1. Partner Recruitment & Onboarding: ● Develop and execute a regional or global strategy to recruit, onboard, and scale partnerships with AI-Focused MSPs to align with Alibaba Cloud’s international growth objectives. ● Adopt a Challenger mindset to establish and maintain trusted advisor relationships with C-suite executives of complex partners, driving strategic AI competence alignment through high-stakes collaboration. ● Identify and prioritize high-potential MSPs based on market reach, industry expertise, technical capabilities, and and strategic fit with Alibaba Cloud’s goals. ● Design and implement strategic partner-sourced and partner-influenced revenue aligned with regional field sales objectives, defining KPIs (e.g., pipeline generation, revenue contribution, joint solutions, customer success) to accelerate customer cloud consumption and AI transformation. ● Work closely with Partner Enablement and Technical teams to ensure MSPs achieve required competencies (e.g., AI, migration, MaaS, industry solutions) and attain Alibaba Cloud MSP certification. ● Demonstrates deep industry expertise and analytical rigor to position Alibaba Cloud’s ecosystem as a strategic differentiator, effectively translating partnership value into tangible sales pipelines. Complies with Alibaba Cloud’s policies, procedures, and legal requirements while proactively overseeing ecosystem quality, compliance, and credit risk management to maintain a secure and trustworthy business environment. ● Maintain end-to-end expertise in AI products, customer needs, and technology trends, guiding partners in aligning their commercial/marketing strategies with evolving industry dynamics. 2. Partner Sales and Objectives ● Coaches partners to transform their plans and strategies around cloud consumption and key targets; leads reviews of Partner’s pipeline, top deals, and consumption targets,and cross-functional collaboration (e.g. sales/product teams). ● Co-develop and execute GTM plans with key MSPs, including demand generation, customer workshops, and executive engagements. ● Provide market feedback to internal stakeholders on partner needs, competitive landscape, and regional opportunities to shape Alibaba Cloud’s MSP program evolution. ● Formulate plans to capture market share, execute partner solution plays, and identify novel GTM funding sources while managing complex campaign execution. 3. Partner Performance and Outcomes ● Drive measurable partner-sourced and partner-influenced revenue through co-selling, deal registration, and joint account planning. Own MSP-related KPIs (e.g., new logos, ACV, consumption growth). ● Resolve high-priority partner escalations; orchestrate timely internal responses and conduct regular partners' business and competence reviews (e.g., MBRs/QBRs) to track progress and adjust strategies. ● Ensure partners invest in skilled, incentivized teams to drive sales&delivery; leverage storytelling and cross-functional Ali-Cloud resources to align partners on Intelligent Edge/Cloud strategies and accelerate sales cycles.