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发布于 2026-11-13 英文原文

高级数据科学家

Senior Data Scientist

日立製作所

职种数据与人工智能 雇用形态—
工作地点Ho Chi Minh City, Ho Chi Minh, Vietnam 薪资面议

职位概要

日立数字服务(Hitachi Digital Services)招聘高级数据科学家,负责开发严谨的数学与统计方法,将汽车传感器与测试数据转化为可执行的工程洞察。工作重点包括信号分析、异常检测、趋势识别、相关性分析,以及构建可靠的工程指标,以支持数据驱动的车辆开发与测试。主要职责:分析多变量车辆传感器、遥测及测试数据集;开发信号处理、异常检测与趋势分析的数学统计模型;设计特征提取、聚合、相关性与时间序列分析算法;定义测试运行、车辆配置与工况对比方法;进行时域与频域分析(含频谱分析);开发派生工程指标、阈值、归一化方法与性能指标;依据参考数据集与工程预期验证分析模型;与数据工程师协作将分析计算与流水线投入生产;记录方法、假设、验证结果与科学局限性;交付可解释的分析输出以支持下游AI与数据驱动决策。必备技能:精通Python及NumPy、Pandas、SciPy等科学计算库;应用数学、统计学与数值分析背景扎实;具备数字信号处理(DSP)、滤波、FFT、频谱分析与时间序列分析经验;精通多变量分析、异常检测与离群值识别;有高频传感器或测量数据处理经验;能将复杂数学发现转化为面向工程利益相关者的可执行洞察;具备验证与记录分析方法论的丰富经验。优先技能:汽车测试、车辆动力学、NVH或耐久性工程经验;了解基于CAN的车辆遥测与传感器分析;熟悉MATLAB/Simulink;了解汽车测试循环、验证流程与测量标准;理解机器学习概念(但非主要工作重点)。任职资格:数据科学、统计学、应用数学、物理学、工程学、计算机科学或相关领域硕士学位,博士优先且视为显著优势;5年以上数据科学、科学计算、应用分析或相关定量领域经验;有将复杂工程或传感器数据转化为有意义分析洞察的实证经验;良好的英语沟通能力并能配合英国时区工作者优先。加分项:汽车、出行或工业物联网领域经验;有大规模遥测或时间序列数据平台经验;接触过AI就绪的分析架构与可解释分析解决方案。日立提供行业领先的福利、灵活工作安排、包容文化及平等就业机会。

职位描述

Function Cloud & Data Engineering Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job description We are seeking a Senior Data Scientist to develop scientifically rigorous mathematical and statistical methodologies that transform automotive sensor and test data into actionable engineering insights. The role focuses on signal analysis, anomaly detection, trend identification, correlation analysis, and the creation of reliable engineering metrics to support data-driven vehicle development and testing. Key Responsibilities Analyze multivariate vehicle sensor, telemetry, and test datasets. Develop mathematical and statistical models for signal processing, anomaly detection, and trend analysis. Design algorithms for feature extraction, aggregation, correlation, and time-series analytics. Define methodologies for comparing test runs, vehicle configurations, and operating conditions. Perform time-domain and frequency-domain analysis, including spectral analysis where applicable. Develop derived engineering metrics, thresholds, normalization methods, and performance indicators. Validate analytical models against reference datasets and engineering expectations. Collaborate with Data Engineers to operationalize analytical calculations and pipelines. Document methodologies, assumptions, validation results, and scientific limitations. Deliver interpretable analytical outputs that support downstream AI and data-driven decision-making. Required Skills Advanced Python programming with strong expertise in NumPy, Pandas, SciPy, and scientific computing. Strong background in applied mathematics, statistics, and numerical analysis. Experience with Digital Signal Processing (DSP), filtering techniques, FFT, spectral analysis, and time-series analytics. Expertise in multivariate analysis, anomaly detection, and outlier identification. Experience working with high-frequency sensor or measurement data. Ability to translate complex mathematical findings into actionable insights for engineering stakeholders. Strong experience validating and documenting analytical methodologies. Preferred Skills Experience in automotive testing, vehicle dynamics, NVH (Noise, Vibration & Harshness), or durability engineering. Knowledge of CAN-based vehicle telemetry and sensor analysis. Experience with MATLAB/Simulink. Familiarity with automotive test cycles, validation processes, and measurement standards. Understanding of Machine Learning concepts, although ML model development is not the primary focus. Qualifications Master's degree in Data Science, Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or a related field. PhD is highly preferred and considered a significant advantage. 5+ years of experience in Data Science, Scientific Computing, Applied Analytics, or a related quantitative discipline. Proven experience converting complex engineering or sensor data into meaningful analytical insights. Good English communication and working with UK Time is a big plus. Nice to Have Automotive, mobility, or industrial IoT domain experience. Experience working with large-scale telemetry or time-series data platforms. Exposure to AI-ready analytical architectures and explainable analytics solutions.(empty) About us We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Hitachi brings together the world’s greatest minds to help breathe life into new possibilities – and drive innovation for a better future. That’s why we look for individuals who share our pioneering spirit, have imaginative ideas and are fearless when it comes to tackling the world’s biggest challenges. Our people love technology – and they love making a difference. They have a passion for finding new solutions and working with brilliant colleagues. Every day they dedicate themselves to a huge range of exciting projects, contributing to the Hitachi vision around the globe. From engineering new sustainability solutions that conserve water and energy to creating the infrastructure for the smart cities of tomorrow, there’s no challenge too great for our pioneers. And there’s no shortage of opportunities for you to make a difference. Come and experience the dynamic, collaborative and creative environments where your ideas are welcome and new discoveries are waiting. To help you grow to your full potential, we strive to support our employees in their career aspirations and promote the freedom to explore new horizons. E-mail us for data privacy inquiries or technical support.