senidata scientist岗位职责

岗位职责：
【数据研发/数据分析方向】
1. 负责国际化出行（拉美、亚太、中东等）用户增长、用户运营、广告投放，支持全球多国家/多时区/多币种数据模型；
2. 熟悉数仓架构（ODS→CDM→ADS），确保数据质量、一致性及可扩展性，丰富业务应用层集市，构建业务数据门户，提升数据分析、业务决策的效率；
3. 与增长产品经理、策略运营深度协同，将埋点、用户行为、营销花费、补贴效果等数据沉淀为可复用的增长数据资产；
4. 构建实时+离线数据体系，支持用户画像的实时获取，以及实时计算用户平台价值；
5. 制定并落地数据治理规范（口径、生命周期、成本、权限、合规），满足 GDPR/CCPA/当地数据出境要求；
6. 建立数据异常检测与自动修复机制，保障核心指标（ROI、CAC、留存、LTV）的准确性与及时性。
任职资格：
1. 计算机、数学、统计学等相关专业本科及以上，3 年以上数据仓库或大数据平台经验；
2. 精通 Hive/Flink/Spark/Kafka，具备 TB 级以上数据建模与调优能力；熟悉 StarRocks/Doris/ClickHouse 等 OLAP 引擎优先；
3. 熟悉维度建模理论，能独立完成业务需求调研→模型设计→ETL 开发→数据校验全链路交付；
4. 具备增长或营销场景数据经验（归因、裂变、补贴、触达），了解 A/B 实验体系；
5. 英语读写熟练，可使用英语进行模型字段命名、数据字典与海外团队 Code Review；
6. Base上海，能接受跨时区会议（拉美/美西时段）。

Job Description Summary
As a Data Science Engineer at Micron, you will employ techniques theories drawn from areas of mathematics, statistics, semiconductphysics, materials science, information technology to uncover patterns in data from which predictive models, actionable insights, solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, UX teams to identify questions issues fdata analysis projects improvement of existing tools. In this position, you will help develop software programs, algorithms and/automated processes to cleanse, integrate, evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory new solution development activities.

Key Responsibilities

● Collaborate with the engineering, product design teams to supply data science support fproduct vision business decisions
● Build processes that enable our teams to be autonomous outcome-driven
● Influence the broader product direction by providing guidance expertise on data science machine learning best practices
● Design evaluate novel approaches fhandling high-volume real-time datasets

Qualifications:

● Masters degree in Computer Science, Data Science, Statistics, a related field.
● Proven experience as a Data Scientist in a similar role.
● Strong programming skills in Python, R, similar languages.
● Experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn.
● Experience in the areas: statistical modeling, feature extraction analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductindustry is a plus but not a requirement.
● Knowledge of front-end technologies such as HTML, CSS, JavaScript, frameworks like React Angular.
● Strong analytical problem-solving skills.
● Experience working with Manufacturing Execution Systems (MES) is a plus
● Excellent communication teamwork abilities.
● Ability to work in a fast-paced, dynamic environment.

Additional Job Description
Designs, develops programs methods, processes, systems to consolidate analyze unstructured, diverse “big data” sources to generate actionable insights solutions fclient services product enhancement. Interacts with product service teams to identify questions issues fdata analysis experiments. Develops codes software programs, algorithms automated processes to cleanse, integrate evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data metadata sources; interprets communicates insights findings from analysis experiments to product, service, business managers.

该岗位也可以base在苏州工厂办公
This position is expected to:
We are seeking an experienced SeniData Scientist to lead our machine learning initiatives.
As a key member of our digital transformation team, the successful candidate will be responsible fdriving forward our data-driven projects, ensuring that we leverage advanced analytics machine learning to optimize business processes enhance decision-making capabilities.
Primary Duties Responsibilities
• Lead the conception, design, development, deployment of machine learning models to address business challenges opportunities.
• Collaborate with cross-functional teams to identify areas where machine learning can add value develop solutions that drive efficiency innovation.
• Utilize Python fprogramming tasks, including but not limited to data preprocessing, algorithm implementation, model testing.
• Perform data analysis to derive insights inform strategic decisions, using statistical methods data visualization tools.
• Develop maintain applications on Microsoft platforms to support data processing analytics workflows.
• Ensure the quality reliability of machine learning systems through rigorous testing validation procedures.
• Stay current with emerging trends technologies in the field of artificial intelligence digitalization to keep the company at the forefront of innovation.
• Other tasks assigned by manager.
Required Qualifications
• Master’s degree in Computer Science, Data Science, Statistics, Engineering, a related field; PhD’s degree preferred.
• Proven experience (minimum 3-5 years) in a similar role, with a focus on machine learning projects.
• Proficiency in programming languages such as Python, SQL, OOP languages like C# Java.
• Experience with data analysis, statistical modeling, machine learning techniques. Strong analytical critical thinking skills to identify patterns trends within data.
• Experience with computer vision, NLP, LLMs fdeveloping advanced AI models.