Data Science – Optimization

Tính chất công việc

Full-time

Vị trí/chức vụ

Nhân Viên/Chuyên Viên

Yêu cầu bằng cấp (tối thiểu)

Đại Học

Yêu cầu kinh nghiệm

Trên 3 năm

Ngày đăng tuyển

15/01/2025

Số lượng tuyển

Ngành nghề

IT Phần Mềm

Kỹ năng

Data Analytics, Python, SQL, Triển Khai Phần Mềm

Địa điểm làm việc

- - Hồ Chí Minh: Quận 2

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Mô tả công việc

Support and partner with clients and team members.
Support team development of data architectures for analysis.
Lead exploratory data analysis (EDA), design and build of data analysis models.
Design, develop, and refine optimization models.
Enhance methods for handling decision-making under uncertainty, integrate probabilistic demand forecasts into optimization workflows, refine algorithmic strategies to enhance revenue.
Explore and apply the latest developments in optimization research methods that hold promise.
Act as an automation optimization subject matter expert for internal and external stakeholders.

Bachelor's degree, Master’s preferred, in mathematics, data science, computer science, operations research, engineering, or related area required.
3+ years of experience, with demonstrable skills writing software in SQL, Python, Java, or C-languages, and utilizing Linear Programming, MIP, Convex Optimization, Differential Calculus.
2-5 years of relevant work experience.
Experience with ETL, cleaning and integrating data in data warehouse.
Experience with large data analysis models, using relational and non-relational databases.
Experience with collaborative software development best practices, including version tracking and code reviews using GitHub.
Understanding of enterprise-scale business and its processes.
Strong critical thinking skills and attention to detail.
Good English language skills.

Income negotiated according to experience and ability, with bonus up to 15th month salary based on excellent performance and business results.
Social insurance, health insurance, unemployment insurance after signing the official labor contract.
Orientation, training and mentoring to master product and enterprise-scale operations knowledge, professional business communication and presentation skills.
Empowered to experiment with prototyping and Linux lab environments.
Working in a friendly, young business environment.

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