Dashmote

Data Scientist

• Develop and implement large language models to support product innovation.
• Analyze large datasets to extract meaningful insights and drive product decisions.
• Collaborate with product managers, engineers, and other stakeholders to integrate data science solutions into new and existing products.
• Stay updated with the latest advancements in AI, ML, and data science to improve our product capabilities continuously.
• Design and conduct experiments to validate model performance and product hypotheses.
• Communicate findings and recommendations to both technical and non-technical audiences.
• 数据质量评估与改进: 科学研究现有数据质量现状,设计并实施提升策略,为未来业务升级提供数据支撑
• 数据匹配与整合: 实施两个数据源之间的实体匹配(Matching),确保数据对齐与一致性
• 负责CRM数据与公司内部数据的精准匹配与整合
• 信息提取与数据清洗: 从杂乱数据中提取有效信息(Portfolio),如在菜单数据中识别特定品牌(例如可口可乐)
• 运用NER技术,在无预设规则情况下自动识别数据中的命名实体(如识别菜单中的软饮料或啤酒)
• 预测与消歧: 利用数据分析预测各销售渠道或门店的销售潜力(Prospecting) 针对数据中的歧义问题开展消歧工作,提升数据准确性
• 大语言模型的应用与质量管理: 深度融合大语言模型于产品中,提升问答系统的回答质量,并对模型表现进行持续监控和优化
• 跨部门协作: 与产品经理、工程师及其他团队成员紧密合作,将数据科学解决方案高效融入产品和业务流程

Procurement

• Responsible for the operation and maintenance of the Scrapy sourcing project
• Responsible for data cleaning and data extraction
• Web page or mobile app data sourcing, data development as per requirements
• Ability to deliver data with quality on time
• Day-to-day communications across the team to ensure a smooth delivery.

Junior Data Sourcing Engineer

Product Manager

• Own the strategy and vision of one of Dashmote’s product lines and translate it into outcome-driven roadmaps
• Prioritize across engineering, sales, customer success, and data to deliver measurable-value features
• Drive product lifecycle end-to-end: problem framing, discovery, specs, delivery, launch, and iteration
• Be hands-on with product onboarding flows, product decks, and design sketches to enable faster iteration and adoption
• Act as the voice of the customer: join client meetings, run discovery sessions, synthesize insights, and create PRDs and specs
• Translate engineering bottlenecks into action: make constraints and trade-offs clear, propose options and timelines, align decisions
• Continuously iterate using performance metrics, experiments, and customer feedback to improve adoption and impact
• Run effective rituals (standups, planning, reviews), maintain status updates, surface risks with mitigation plans

• 负责Scrapy爬虫项目的运维以及数据的清洗提取工作。
• 根据任务需求,进行网页端或App端的数据爬取工作。
• 在保证质量的情况下可以成功交付数据。
• 可以独立解决开发中碰到的问题,并具备良好的沟通能力。
• 对新鲜技术感兴趣,有责任感,乐于分享,协助团队技术成长

Data Scientist

Junior Data Sourcing Engineer

Product Manager

Medior Data Sourcing Engineer