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Nhân Viên IT
- CÔNG TY TNHH DELICHILL VIỆT NAM
- Khu vực tuyển dụng: Hồ Chí Minh
- Mức lương: 20 triệu - 25 triệu
- Lượt xem: 2,491
. Ngày duyệt: 17/02/2021
Hạn nộp hồ sơ: 08/05/2021 Đã hết hạn
Mức lương: 20 triệu - 25 triệu
Hình thức làm việc: Toàn thời gian cố định
Địa điểm làm việc: 94 Đường Xuân Thuỷ, Phường Thảo Điền, Quận 2, TP.HCM
Số lượng: 10
Chức vụ: Nhân viên
Ngày đăng tuyển: 11/02/2021
Ngành nghề: Công nghệ thông tin
Mô tả công việc
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work alongside of mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging
• Iterate and improve our recommendation, personalization and ranking algorithms which have applications in several product areas like search, autocomplete and email/push communications
• Build models for next generation pricing and pay algorithms
• Improve models used in real time vehicle routing in major metropolitan areas, to help our dashers arrive at desired locations with little to no lag/latency
• Predict preparation time for over 50,000 merchant partners
Quyền lợi được hưởng
• Package: VND 20.000.000 - 26.000.000 (net)/month
Yêu cầu công việc
• Good understanding of many quantitative disciplines such as statistics, machine learning, operations research, causal inference, and deep understanding in at least one
• Demonstrated familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib
• Understanding of experimentation techniques e.g. A/B testing
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