滴滴Data Science Manager-海外广告(英文workable)(J250410013)
任职要求
● 数据科学或相关学科硕士或博士学历 ● 1-3年管理经验,3-7 年数据科学经验,营销衡量或类似领域优先 ● 工作用语为英语,英语流利为必备技能 ● 精通R/python/SQL ● 深入理解实验设计和方法、A/B Test、Geo lift Test、Incrementality Test及其统计原理。 ● 具有因果推断(Causal Inference)和其他计量经济学的经验 ● 国际数字营销(Digital Marketing)生态系统的行业知识,包括Google、Facebook等 ● 建立统计和机器学习模型及其应用的经验 ● 有处理大数据集的经验 ● 丰富的项目管理经验 ● 熟悉 iOS 和Android的数据隐私变动和Incrementality Measurement的优先 ● 数据驱动的问题解决方法。 以分析和以客户为中心的心态来定义、监督关键绩效指标,并确定改进机会。 ● 在面向跨职能团队领导和利益相关者的演示文稿和报告中总结数据的经验。 ● 加分项:Spark/Hadoop 专业知识、交互式可视化应用程序开发
工作职责
Data Science Manager-海外广告 (英文workable) ●消费者分析中所有形式的营销归因和衡量(Marketing Attribution & Measurement ),就营销衡量框架(Marketing Measurement Framework)向其他数据分析师和营销团队提供专家建议。 ● 与其他数据分析师和分析工程师合作,制定和执行数据科学发展规划的路线图,将一流的衡量框架投入生产。 ●开发营销衡量流程和框架(包括Marketing Mix Modeling, Attribution and Incrementality Test/Geo Lift Test, etc),使团队能够跨营销渠道和市场做出更明智的投资决策。 ● 建立统计/机器学习模型来预测用户生命周期价值(LTV 模型),用户分层(Uplift Model),因果推断和其他创新数据科学项目。 ● 宣传数据的使用并主动发现机会以提高整个组织的数据素养和参与度。 ● 领导数据科学团队定义营销数据科学路线图和 OKR
广告投放策略&管理 1. 负责某一个主流效果广告平台(如Google、Facebook、TikTok等)的日常运营与管理,包括账户搭建、关键词选取、营销活动定位、用户分层和筛选、出价优化、消耗节奏等,不断提升广告投放的质量与效果; 2. 定期对本渠道的广告投放策略进行复盘与优化,根据市场动态、用户行为变化及投放数据反馈,及时调整策略方向,保障广告投放始终保持高效; 广告创意策划与优化 1. 协同设计部门,策划富有吸引力与转化力的广告创意,包括广告文案、图片、视频等素材的构思与制作指导,确保广告内容能够有效吸引用户关注并激发其行动; 2. 基于 A/B 测试等方法,对广告创意进行持续优化,通过分析不同创意版本的投放数据,挖掘用户喜好与行为规律,不断迭代创意内容,提高广告的点击率、转化率等关键指标; 数据分析与效果评估 1. 实时收集、整理与分析广告投放数据,包括曝光量、点击量、转化率、成本等关键指标,深入洞察广告投放效果及用户行为路径; 2. 定期出具详细、专业的广告投放效果评估报告,通过数据可视化呈现投放成果,精准定位问题与机会点,并提出针对性的优化建议与解决方案,为广告投放决策提供有力的数据支持; 3. 运用数据分析手段,对用户进行细分与画像,深入了解不同用户群体的特征与需求,实现广告的精准定向投放,提升广告投放的精准度与投资回报率。 Advertising Strategy & Management 1. Responsible for the daily operation and management of a major performance advertising platform (e.g., Google, Facebook, TikTok), including account setup, campaign targeting, user segmentation and filtering, bid optimization, and pacing—continuously improving the quality and effectiveness of ad campaigns. 2. Regularly review and optimize advertising strategies for the assigned platform. Adjust strategic direction in a timely manner based on market dynamics, user behavior changes, and performance feedback to ensure continued efficiency and effectiveness. Ad Creative Planning & Optimization 1. Collaborate with the design team to plan compelling and conversion-driven ad creatives, including ad copy, images, videos, etc. Guide the production process to ensure the content effectively captures user attention and drives action. 2. Continuously optimize creative content using methods such as A/B testing. Analyze performance data of different creative versions to identify user preferences and behavior patterns, iterating to improve key metrics such as CTR and conversion rate. Data Analysis & Performance Evaluation 1. Collect, organize, and analyze real-time advertising data, including impressions, clicks, conversion rates, cost metrics, etc., to gain deep insights into campaign performance and user behavior. 2. Produce detailed and professional performance reports regularly, using data visualization to clearly present results. Identify issues and opportunities, and propose actionable optimization recommendations and solutions to support informed decision-making. 3. Leverage data analysis to segment users and build user profiles, gaining a thorough understanding of different audience groups’ characteristics and needs. This enables highly targeted advertising and improved return on investment.
用户行为数据监控与分析 1. 搭建并维护用户转化和留存核心指标体系,覆盖拉新、首单、复购、留存等关键阶段; 2. 实时监控用户行为、补贴工具使用、活动转化路径等数据,识别运营策略中的机会与风险点 补贴策略制定与运营支持 1. 基于用户生命周期与分层模型,制定针对新客、沉默用户、流失用户等群体的差异化补贴策略(如新客立减、满减、返现券等); 2. 联动产品与B端运营团队配置最优激励方案,设计人群×工具的组合策略,提升激活率与留存转化率。积极协助产研部门优化投放工具和数据基建,提高效果广告的投放效率 策略效果复盘与优化闭环 1. 跟踪每项补贴/激励策略执行结果,输出效果归因、路径分析与ROI评估; 2. 基于复盘结果持续优化激励策略组合,形成标准化的策略评估模型与策略沉淀; 3. 定期输出月/周分析报告,为用户运营策略提供数据支持与优化方向 User Behavior Data Monitoring and Analysis 1. Build and maintain a core metrics system for user conversion and retention, covering key stages such as user acquisition, first orders, repurchase, and retention. 2. Monitor user behavior, subsidy tool usage, activity conversion paths, etc., in real-time to identify opportunities and risks in operational strategies. Subsidy Strategy Development and Operational Support 1. Based on user lifecycle and segmentation models, develop differentiated subsidy strategies for new users, dormant users, churned users, etc. (e.g., new customer discounts, coupons, cashback vouchers, etc.). 2. Collaborate with the product and B2B operations teams to configure optimal incentive plans, design crowd × tool combination strategies, and improve activation and retention conversion rates. Actively assist the product and research team in optimizing delivery tools and data infrastructure to improve the effectiveness of paid advertising. Strategy Review and Optimization 1. Track the execution results of each subsidy/incentive strategy, providing effect attribution, path analysis, and ROI evaluation. 2. Continuously optimize incentive strategy combinations based on review results, forming standardized strategy evaluation models and strategy documentation. 3. Regularly produce monthly/weekly analysis reports to provide data support and optimization directions for user operations strategies.
Product Manager and Ops 1. Collaboration: Work with cross-functional teams to shape and implement App product strategies based on user needs and business plans extend our global markets. 2. User Experience Exploration: Identify and enhance opportunities within the App journey, including features like new customer acquisitions, search, recommendations, promotions, product details, guided shopping, payment options, customer reviews. 3. User Growth Mechanism: build traffic acquisition and optimize performance for online-marketing, retargetting, affiliate, RTA channals. Establish performance metrics, cost meansurement and attribution models to drive growth of MAU, DAU and Buyers 4. Customer Segmentation: Define customer lifecycle and segments, and design a ML based approach to leverage incentives (e.g. promotion /voucher programs) to improve customer engagements, loyalty, and purchase frequency. 5. Product Lifecycle Management: Manage product roadmaps and launch milestones
Key Responsibilities: 1.Analyze and build potential partnerships for SCD BU, mainly focus on Mobile and Fixed Broadband(Mobile wifi, CPE, Dongle, Fiber) and Smart Wearable products(watch, tracker, OBD…) 2.Develop strategic plans for smart device categories, including growth and promotion plans to achieve annual operating plan goals, 3.Develop and execute product assortment decisions, inventory and pricing strategies based on industry historical data, industry trends and customer buying patterns, 4.Generate annual smart device budget and rolling forecast using key market indicator management, combined with sales and carrier planning, 5.Manage end-to-end customer relationships, including contract negotiations, supplier identification, growth plans and marketing communications, 6.Develop and implement sales department pricing strategies in conjunction with existing and new products, 7.Achieve profitable growth in product categories in accordance with GM% goals, 8.Support field sales staff by clearly communicating promotion plans, new products, or supplier resolution of transaction issues, 9.Comprehensively insight the local market and competition, sync up the info with region and BU.