Data Analysis Engineer-AI
Description -
Job Summary
- This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation. The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development.
- 该职位负责运用统计技术对复杂数据集进行分析和解读，识别可用于制定业务决策并提升组织绩效的趋势、模式和洞察。
- 该岗位需要在数据探索、数据挖掘、数据准备、数据清洗、数据处理、建模和验证等方面，应用前沿的编程技术和方法。
该职位还需探索如何通过数据分析改善业务结果，并通过推荐高效、自动化的流程来提升大规模数据分析和模型开发的生产力。
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Responsibilities
- Leads data mining using modern tools and programming languages.
- Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
- Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
- Strategizes models to uncover patterns and predictions creating business value and innovation.
- Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
- Ties insights into effective visualizations communicating business value and innovation potential.
- Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
- Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
- Represents the data science team for all phases of larger and more-complex development projects.
- Provides guidance, training and mentoring to less experienced staff members.
- 使用现代化工具和编程语言领导并推进数据挖掘工作。
- 开发监控指标，用于反映模型在真实业务场景中的表现，并基于结果提出建议，指导模型和数字化解决方案的未来发展方向。
- 开发高复杂度的预测性和处方性模型，从数据中挖掘业务洞察；推动相关行动落地，制定成功衡量指标，并持续跟踪模型表现。
- 制定模型策略，识别数据中的模式和预测信息，为企业创造业务价值并推动创新。
- 管理并维护与业务合作伙伴的关系，评估和推动数据驱动创新，为跨组织项目和计划提供领域专业支持。
- 将分析结果转化为高质量的数据可视化内容，有效传递业务价值和创新潜力。
- 与开发团队及业务部门协作，确保模型具备良好的可扩展性，并能够顺利集成到最终解决方案中。
- 领导数据科学项目团队，确保洞察和分析结果得到及时有效的沟通，同时审核方案设计、模型质量及数据合规性。
- 在大型及复杂项目的各个开发阶段代表数据科学团队参与项目工作。
为经验较少的团队成员提供指导、培训和辅导，帮助其专业成长。
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Education & Experience Recommended
- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
- 拥有数学、统计学、经济学、计算机科学、数据科学或其他相关专业的本科及以上学历；或者具备与上述学历相当的工作经验及经验证明的专业能力。
- 通常需要具备 7–10年相关工作经验 ，优先考虑拥有以下领域经验的候选人：
- 数据分析（Data Analytics）
- 统计建模（Statistical Modeling）
- 机器学习（Machine Learning）
其他相关技术领域
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Preferred Certifications
- Programming Language/s Certification (SQL, Python, or similar)
- 编程语言相关认证 （如 SQL、Python 或其他类似编程语言认证）
Knowledge & Skills
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Big Data
- Computer Science
- Data Analysis
- Data Mining
- Data Science
- Data Visualization
- Deep Learning
- Machine Learning
- Natural Language Processing
- Predictive Modeling
- Python (Programming Language)
- R (Programming Language)
- SQL (Programming Language)
- Statistical Modeling
- Statistics
- Tableau (Business Intelligence Software)
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
First Shift (China)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
