高级数据科学家 - Applied AI | Senior Data Scientist - Applied AI

职位描述
我们正在寻找AI/ML技术的技术专家，包括计算机视觉(CV)，自然语言处理(NLP)和音频信号处理。您将负责与各种利益相关者(产品、运营、政策和工程)合作，并开发最先进的模型。
1、研究最新的深度学习技术并发现潜在的业务应用；
2、使用数据驱动的方法提高清晰度并解决不明确的、具有挑战性的业务问题。提出并拥有数据分析(包括建模、编码、分析和实验)，以推动业务洞察和促进决策；
3、利用基于机器学习、统计和优化的算法，开发创造性的解决方案，并为业务问题构建原型；
4、与工程团队合作，部署和scale数据科学解决方案。

We are looking for generalists and specialists in AI/ML techniques including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models.
1. Conduct research on the latest deep learning techniques and identify potential areas of business application;
2. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions;
3. Develop creative solutions and build prototypes for business problems using algorithms based on machine learning, statistics, and optimization;
4. Collaborate with engineering team to deploy and scale data science solutions.
职位要求
1、了解统计学，机器学习和分析的基本数学基础知识；
2、至少 3 年数据分析经验，具有 ML/DL 和 CV/NLP/Speech 之一的行业经验；
3、具有探索性数据分析、统计分析和假设检验以及模型开发的经验；
4、熟练掌握Python和SQL，以及tensorflow、pytorch等ML/DL框架；
5、清楚地了解数据pipeline、模型开发、模型测试和部署；
6、有 CI/CD（如 git）和云服务（如 AWS/GCP/Azure）的经验者优先；
7、英语水平高，沟通能力强；能够以易于理解的方式向技术/非技术同事传达分析和技术内容；
8、求知欲，以及出色的问题解决和定量技能，包括分解问题、找出根本原因和推荐解决方案的能力。

1. Knowledge of underlying mathematical fundamentals in statistics, machine learning and analytics;
2. At least 3 years experience in data analysis, with industry experience in ML/DL and one of CV/NLP/Speech;
3. Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development;
4. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets;
5. High proficiency in Python and SQL, and ML/DL frameworks such as tensorflow, pytorch; Clear understanding of data pipeline, model development, model testing and deployment;
6. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable;
7. Advanced English with excellent communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences;
8. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.