Principal Software Architect – Statistical Analysis
OPPO US Research Center
Palo Alto, California
Expiry Date :
Wed, 23 Jun 2021 23:59:59 GMT
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Machine Intelligence and Data AnalyticS team (MIDAS) is seeking a Principal Software Architect Statistical Analysis to design and review the analytics infrastructure for applications and products based upon Android. We aim to optimize the user experience, including performance, battery-life, thermal, stability and reliability, for Oppos products by adopting data-driven methodology. In order to handle the ever increasing complexity of modern mobile systems, MIDAS investigates and creates novel computational, statistical, and decision-making methods. Our projects advance the state of the art of design, develop, and service quality in mobile technology.
Provide technical leadership and expertise of statistics and Machine Learning.
Lead and perform the design, development, and maintenance of models/algorithms for performance/battery-life optimization purpose.
Interface with global development teams on current and future data analytics architecture for products, applications, and services.
Define and develop guidelines, standards, and processes to ensure deliverables quality and integrity.
Masters degree in Statistics, Computer Science, Applied Math, Electrical Engineering, or related fields, and 5+ years of relevant experience or a combination of education and relevant experience.
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
Efficient in SQL, Hive, SparkSQL, etc.
Hands-on experience in data mining algorithms and statistical modeling techniques such as anomaly detection, clustering, classification, regression, decision trees, neural nets, support vector machines, sequential pattern discovery, and time series analysis.
Strong communication, coordination and reporting skills is required.
Strong analytical and conceptual design skills and strong problem-solving skills.
PhD degree in Statistics, Computer Science, Applied Math, Electrical Engineering, or related fields, and 8+ years of relevant experience or a combination of education and relevant experience.
Experience of applying analytics techniques on optimizing user experience for mobile, preferably Android.
Solid understanding of deep learning.