- Posted 08 May 2023
- Salary Competitive Salary (DOE)
- LocationShanghai Municipality
- Job type Permanent
- DisciplineRenewable Energy & Infrastructure, Digital & Technology
- Contact NameMac Ma
Job Title: Data Scientist
Location: Shanghai, China
Salary: Competitive Salary DOE
Contract Type: Full-time, Permanent
Our client, a leading solar panel manufacturer based in Shanghai, is seeking a Data Scientist to join their team. The successful candidate will be responsible for analyzing large and complex data sets to identify patterns and insights that can be used to inform business decisions.
Develop and implement data mining and machine learning models to analyze large and complex data sets.
Collaborate with stakeholders across the organization to identify business requirements and develop solutions that meet business needs.
Build predictive models to forecast demand, identify trends, and optimize production processes.
Develop dashboards and visualizations to communicate insights to stakeholders.
Stay up-to-date with emerging technologies and trends in data science and recommend new solutions and technologies to improve data analysis.
A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
A minimum of 3 years of experience in data science, including experience with machine learning and statistical modeling.
Strong programming skills in Python, R, or another programming language commonly used in data science.
Experience with data visualization and dashboarding tools, such as Tableau or Power BI.
Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders across the organization.
Fluency in English and Mandarin Chinese.
This is an exciting opportunity for an experienced and highly motivated Data Scientist to join a leading solar panel manufacturer based in Shanghai. If you meet the requirements for this role and are passionate about using data to drive business decisions, please submit your CV and cover letter for consideration.