高级数据科学家
Senior Data Scientist
如果你是一位有才华的数据科学家，希望加入一个快速发展的创新研发团队，塑造商业决策的未来，使用前沿技术处理海量全球实时数据，影响数十亿移动用户，并成为行业领袖，那么让我们聊聊吧！Start.io 是一个移动数据平台，使组织能够发现洞察并做出数据驱动的决策，以增强策略并推动增长。我们正在寻找一位高级数据科学家加入我们的数据科学与工程团队。
职责：
- 分析大规模和复杂的数据以发现隐藏的模式和机会；
- 开发并负责端到端的高可扩展数据管道；
- 开发最先进机器学习模型和算法，并在变现领域构建解决方案；
- 为实时（在线）处理配置数据模型；
- 设计新的数据产品，并持续改进现有产品；
- 与多个团队包括产品、BI、分析师、DevOps、研发和市场部门协作，引领并完成整体解决方案；
- 负责完整的上线生产流程，包括分析需求、测试、监控和评估结果、多任务处理以及快速响应关键问题。
要求：
- 计算机科学、工程、数学、统计学或其他相关领域的学士/硕士/博士学位；
- 6年数据科学家经验 - 在机器学习概念和模型方面有扎实的基础；
- 具备 Python 编程经验，特别是数据科学和机器学习库（如回归和分类算法例如 XGB 或 LGBM，推荐系统算法等）；
- 理解数据库和 SQL 用于数据检索；
- 监控和警报工具（如 Grafana、Kibana）。
加分项：
- 了解程序化广告领域 – DSP、SSP、交易所 – 有显著优势；
- 具备关系型（如 Vertica、VoltDB）和非关系型（如 MongoDB）数据库的经验；
- 具备 PMML 经验。
我们提供：
- 来自我们关怀的人力资源团队的帮助和支持；
- 20天年假；
- 购买必要软件；
- 健康保险；
- 多运动保险（波兰）；
- 通过试用期后可享受动员预留（针对乌克兰同事）；
- 交流经验并与优秀同事合作；
- 最后但同样重要的是 - 对您努力的丰厚报酬。
最初发布于 Himalayas
查看英文原文
If you’re a talented Data Scientist looking to be part of a fast-growing, innovative R&D team, shape the future of decision-making in business, work on cuttingedge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk! Start.io is a mobile data platform that enables organizations to uncover insights and make datadriven decisions that enhance strategies and drive growth. We are seeking a Senior Data Scientist to join our Data Science & Engineering team.
Responsibilities:
- Analyze large and complex data to discover hidden patterns and opportunities;
- Develop and own end-to-end highly scalable data pipelines;
- Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields;
- Provisioning data models for real-time (online) processing;
- Shape new data products, and constantly improve the existing products;
- Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions;
- Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.
Requirements:
- B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
- 6 years as a Data Scientist - a strong background in ML concepts and models;
- Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.;
- Understanding of databases and SQL for data retrieval;
- Monitoring and alerting tools (e.g. Grafana, Kibana).
Will be a plus:
- Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage;
- Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases;
- Experience with PMML.
What we offer:
- Help and support from our caring HR team;
- 20 days of vacation;
- Purchase the necessary software.
- Health insurance coverage.
- Multisport coverage (Poland).
- Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues).
- The exchange of experience and work with talented colleagues;
- Last but not least - valuable compensation for your efforts.
Originally posted on Himalayas