出海雷达

数据科学家 - 消费者分析与预测

Data Scientist - Consumer Anaytics, Forecasting

开发工程限定地区(需当地身份)
公司Lingaro
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间9 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Data Scientist - 消费者分析与预测
印度,远程办公
职责:

  • 执行端到端的项目(业务理解、数据理解/准备、建模、评估和部署)
  • 分析并解释结果
  • 得出结论和建议——包括预期收益和衡量业务流程改进的ROI
  • 预售活动(高级顾问级别)

要求:
必须具备:

  • 在各种经典数据科学和机器学习(ML)模型(如决策树、基于集成的树模型、线性回归等)方面有商业经验
  • 熟悉客户分析DS概念或高级预测方法
  • 模型超参数调优
  • 模型验证框架
  • 有业务需求收集经验,能将其转化为技术方案,进行数据处理、特征工程、模型评估
  • 有支持业务的分析岗位经验者优先
  • 精通Python,具备基本的SQL操作能力
  • 熟悉特定的DS/ML库
  • 在云计算平台(Databricks或GCP或Azure)中有实际经验

加分项:
了解因果机器学习
有处理大数据和分布式环境的经验者优先
在预测领域有多项成功项目的商业经验者优先
有Python面向对象编程经验
有MLOps经验
熟悉其他语言如R、Scala者优先
通用要求:
具备基本的计算机编程技能和编程概念知识
较强商业意识
有深度学习、强化学习或其他高级建模概念在传统数据科学问题中的经验
能够提出创新解决方案来解决客户问题
为什么加入我们:

  • 稳定的就业。自2008年以来一直在市场上,目前在全球7个站点有1300多名人才。
  • 100%远程办公。
  • 工作时间灵活。
  • 全职职位
  • 从第一天起就有“伙伴”参与的全面在线入职培训计划。
  • 与顶级工程师和专家合作。
  • 从第一天起即可无限访问Udemy学习平台。
  • 证书培训项目。Lingarians每年获得500多个技术证书。
  • 提升技能支持。能力建设项目、能力中心、知识分享会议、社区网络研讨会,每年有110多个培训机会。
  • 随着公司一起成长。76
查看英文原文

Data Scientist - Consumer Anaytics, Forecasting
India, RemoteTasks:

  • Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
  • Analyzing and interpreting the findings
  • Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
  • Pre-sales activities (at senior consultant level)

Requirements:
Must Have:

  • Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
  • Familiarity with customer analytics DS concepts or advanced forecasting
  • Model hyperparameter tuning
  • Model validation frameworks
  • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
  • Previous experience in an analytical role supporting business will be a plus
  • Fluency in Python, basic working knowledge of SQL
  • Knowledge of specific DS/ML libraries
  • Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)

Nice To Have:
understanding of Causal machine learning
experience in working with big data and distributed environments would be a plus
commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
Experience with OOP in Python
Experience with MLOps
familiarity with other languages R, Scala would be a plus
General:
basic computer programming skills and familiarity with programming concepts
strong business acumen
experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems
ability to come up with creative solutions to address customer problems
Why join us:

  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
  • 100% remote.
  • Flexibility regarding working hours.
  • Full-time position
  • Comprehensive online onboarding program with a “Buddy” from day 1.
  • Cooperation with top-tier engineers and experts.
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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