WINSYS TECHNOLOGY

About WINSYS TECHNOLOGY

Roles & Responsibilities Job Descriptions: We looking for Data Scientist to analyst Big Data and develop predictive maintenance systems, efficient workflow algorithms in Smart Manufacturing Process. Evaluate, design and implement statistical analyses of manufacturing data & operational processes Establish scalable, efficient, automated processes for model development and large scale data analysis. Research and development of algorithms to detect abnormal subtle changes in operational data. Research and develop algorithms to process raw sensor data, such as engergy / temp / pressure/ flow. Communicate results through presentations and reports for clients, internal staff, scientific journals, and contributions to open source projects. Assist teams in proposal writing. Participate in professional development and scientific stature efforts. Job Requirements: Degree / Masters in Business Analytics, IT-Analytics, Statistics or Computer science, Mathematics or equivalent. 3 years relevant experience Experience in predictive modeling, machine learning, data mining, statistical, text mining, and optimization algorithms will be added advantage. Experience with data ETL processes (e.g. SQL queries, NoSQL, reading flat files (CSV/JSON), data cleaning), visualization tools (such as QlikView, Tableau etc). Strong analytical, Innovative and algorithmic problem solvers Excellent critical thinking skills, problem-solving skills. Knowledge in big data technologies including cloud computing/distributed computing and data visualization. Hands on experience with development of end-to-end data analytics solutions including data exploration/crawling, model building and performance evaluation Experience with Python and its data analysis ecosystem (pandas, scikit-learn, numpy), Experience with a compiled programming language (e.g., C, C#, C++, Java). Experience with web front-end technologies, including HTML, CSS, JavaScript, and frameworks, such as React and Vue.js. Collaborative software development experience, including familiarity with version control, testing & code reviews. Strong interpersonal and collaboration skills, including oral and written communication and presentations. Skilled in enterprise technical architecture Well versed in Operating Systems such as Microsoft Windows, Red Hat Enterprise Linux To stay abreast of new product and technologies in IT infrastructure data management solution. Quick learner in languages, pragmatic in solution delivery Interested applicant please send resume with expected remuneration to [email removed] We regret that only shortlisted candidates will be notified.

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Company Type: Private

Company Size: 11 - 50

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