![Công Ty TNHH Lp Technology](https://i-vn.joboko.com/images/logo/202202/cong_ty_tnhh_lp_technology.jpg)
- Chi tiết công việc
- Giới thiệu công ty
Mức lương: 10 - 30 triệu VNĐ
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Mô tả công việc
Responsibilities
· -Manipulating data over the entire data pipelines (data cleaning, normalization, enrichment, transformation and features engineering.)
· -Performing Exploratory Data Analysis/Data Discovery to understand the business meaning of the data and some relevant pattern. Result shall be presented in a clear and easy to understand manner.
· -Build and evaluation of predictive analytics models using state-of-the-art data mining techniques and machine-learning algorithms
· -Provide strategic ideas and analytics concept to understand customer insights from their data.
· -Work closely with Data Engineering team to build, deploy and maintain data models on our company's infrastructure.
· -Propose solutions and strategies to business challenges.
· -Manipulating data over the entire data pipelines (data cleaning, normalization, enrichment, transformation and features engineering.)
· -Performing Exploratory Data Analysis/Data Discovery to understand the business meaning of the data and some relevant pattern. Result shall be presented in a clear and easy to understand manner.
· -Build and evaluation of predictive analytics models using state-of-the-art data mining techniques and machine-learning algorithms
· -Provide strategic ideas and analytics concept to understand customer insights from their data.
· -Work closely with Data Engineering team to build, deploy and maintain data models on our company's infrastructure.
· -Propose solutions and strategies to business challenges.
Yêu cầu công việc
Requirements
· -Bachelor degree in Statistic/Math/Information Technology/Computer Science/Applied Science/Quantitative Economics/Banking & Finance.
· -At least 1 year of industrial experience (for Junior level), 2 years (for Middle level), with demonstrable record of utilising Data Science techniques to deliver solid business impact.
· -Experience with common data science programming language and toolkits: either Python (pandas, numpy, sklearn) or R (dplyr, ggplot, caret).
· - Proficiency in using SQL for data queries and manipulation.
· -Understanding of basic machine learning algorithms: linear/logistic regression, decision tree, kmeans, neural net, support vector machine, ensemble of multiple models, etc.
· -Ability to work under pressure
· Business proficiency in English language skills is a must (TOEIC >700 or equivalent)
The following quality is a plus:
· -Computer Science fundamentals and programming (data structures, algorithms, computability and complexity, computer architecture, etc.)
· -Strong background in math: linear algebra, multivariate calculus, probability and statistic, optimization
· -Experience and skills in Big Data analytics (Hadoop, Spark).
· -Experience with Cloud storage and computation ecosystem (Amazon EC2, S3, EMR).
· -Bachelor degree in Statistic/Math/Information Technology/Computer Science/Applied Science/Quantitative Economics/Banking & Finance.
· -At least 1 year of industrial experience (for Junior level), 2 years (for Middle level), with demonstrable record of utilising Data Science techniques to deliver solid business impact.
· -Experience with common data science programming language and toolkits: either Python (pandas, numpy, sklearn) or R (dplyr, ggplot, caret).
· - Proficiency in using SQL for data queries and manipulation.
· -Understanding of basic machine learning algorithms: linear/logistic regression, decision tree, kmeans, neural net, support vector machine, ensemble of multiple models, etc.
· -Ability to work under pressure
· Business proficiency in English language skills is a must (TOEIC >700 or equivalent)
The following quality is a plus:
· -Computer Science fundamentals and programming (data structures, algorithms, computability and complexity, computer architecture, etc.)
· -Strong background in math: linear algebra, multivariate calculus, probability and statistic, optimization
· -Experience and skills in Big Data analytics (Hadoop, Spark).
· -Experience with Cloud storage and computation ecosystem (Amazon EC2, S3, EMR).
Quyền lợi được hưởng
Benefits
· -Joining LP Tech, you will have great opportunity to work with young, friendly & smart people
· -Attractive remuneration package (competitive salary, bonus)
· -Salary review twice a year
· -Social Insurance, Health insurance, Unemployment insurance in accordance with Vietnam Labor Law
· -12 Annual Leaves
· -Complete & professional working procedures & policies
· -Flexible training programs
· -Company trip, Teambuilding programs and other interesting activities
· -Joining LP Tech, you will have great opportunity to work with young, friendly & smart people
· -Attractive remuneration package (competitive salary, bonus)
· -Salary review twice a year
· -Social Insurance, Health insurance, Unemployment insurance in accordance with Vietnam Labor Law
· -12 Annual Leaves
· -Complete & professional working procedures & policies
· -Flexible training programs
· -Company trip, Teambuilding programs and other interesting activities
Nộp hồ sơ liên hệ
Công Ty TNHH Lp Technology
Giới thiệu công ty
Xem trang công ty
LP Technology là công ty triển khai các sản phẩm và hệ thống cho ngân hàng, các công ty con của ngân hàng như MBBank, MCredit, MBAL... Hiện tại công ty đang có khoảng 40 nhân sự và đa phần là các bạn trẻ vậy nên có một môi trường làm việc năng động, trẻ trung, sáng tạo.
Quy mô công ty
Từ 26 - 100 nhân viên
Việc làm tương tự
CÔNG TY CỔ PHẦN GIẢI PHÁP THANH TOÁN VIỆT NAM (VNPAY)
Thỏa thuận
31/07/2024
Hà Nội
Nền Tảng Học Online Babilala
Tới 2,000 USD
11/07/2024
Hà Nội, Kon Tum
Công Ty Cổ Phần Thời Trang Yody - Chi Nhánh Hải Dương
Thương lượng
20/08/2024
Hà Nội, Hồ Chí Minh
Ngân hàng TMCP Quân đội - MB Bank - MB
Cạnh tranh
30/06/2024
Hà Nội
Dagoras Technology and Communications JSC.,
12 - 15 triệu VNĐ
01/07/2024
Hà Nội
hỗ trợ doanh nghiệp
Giải thưởng
của chúng tôi
Top 3
Nền tảng số tiêu biểu của Bộ
TT&TT 2022.
Top 15
Startup Việt xuất sắc 2019 do VNExpress tổ chức.
Top 10
Doanh nghiệp khởi nghiệp sáng tạo Việt Nam - Hội đồng tư vấn kinh doanh ASEAN bình chọn.
Giải Đồng
Sản phẩm công nghệ số Make In Viet Nam 2023.