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Data Scientist
2 months ago
Roles & Responsibilities
About Durapower:
Durapower, a global leader in Energy Storage Systems driving the green transformation, is seeking a dynamic and experienced Corporate Communications Manager to play a pivotal role in elevating brand awareness, thought leadership, and lead & demand generation. This individual contributor will collaborate closely with internal stakeholders and external partners on emerging trends on battery technology and sustainability topics.
You may refer to the news here:
Video by Management on Durapower:
The Project: --->
Job Title: Data Scientist
Responsibilities
Participate in algorithm development, analyze the charging/discharging behaviors and the cause of fault/failure, to reduce battery risk, extend battery lifetime and improve battery performance Code data analysis features and development of machine learning and deep learning algorithms Responsible for data cleaning, including but not limited to evaluating data reliability (data continuity, physical rationality), identifying and screening invalid data, completing data warehousing, and writing data quality report, etc. Responsible for data analysis, to get the data distribution regularity, quantify the degradation degree and residual value of battery, and realize data visualization Work with other engineers and third-party suppliers to build prototypes and demonstratorsCompetency Requirement
Degree in Data Science, Data Analytics, Computer Science or related field (physics/ statistics background) or Master's in Artificial Intelligence Minimum of 5 years of related experience Deep knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems Strong understanding of statistics (hypothesis testing, regressions, etc.) Experience with (or strong interest in) architecting cloud software that interfaces with a hardware product Extensive knowledge and experience building services that manage and monitor devices Experience working on cloud platforms (AWS, Azure, Google Cloud) Experience working with cloud IoT platforms is a plus Experience with both SQL and noSQL databases Experience building and deploying microservices in the cloud Extensive experience designing and implementing software quality patterns and practices (continuous integration, static analysis, unit testing, integrated testing) Demonstrated success working in fast-paced team environments and delivering high-quality software products using established Agile development methodologies (such as Scrum, Kanban, etc.) Experience in taking business requirements and translating them into executable user stories and workflows for software teams is a plus