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Data Scientist (Java, Python, Database)

149 Nguyen Van Troi, Phu Nhuan, Ho Chi Minh

Dai-ichi Life Việt NamCompany name
1000+Company size
ProductJob category
1 yearsExperienced level
3 tháng trướcUpdated

Tech stack


Thông tin công việc

Mô tả

  • Identify valuable data sources and automate collection processes

  • Undertake preprocessing of structured and unstructured data

  • Analyze large amounts of information to discover trends and patterns

  • Build predictive models and machine-learning algorithms

  • Combine models through ensemble modeling

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams

Yêu cầu

Education, no. of year experience:

  • Master’s or Ph.D. in computer science, mathematics, or statistics

  • Experiences in life insurance/financial business is preferable

Technical skills:

Strong problem solving skills with an emphasis on product development.

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

• Experience working with and creating data architectures.

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques.

• We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

  • Coding knowledge and experience with several languages: C, C++, Java,

  • JavaScript, etc.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Soft skills:

  • Strategic, analytic and creative thinker

  • Excellent interpersonal and communication skills

  • Risk takers, Self-starters and ambitious professionals with both technical and commercial acumen

  • Ability to multi-task. Work well in team environment, as well as, independently

  • Able to work under pressure and meet tight deadlines

Personal attributes

  • Good team player, independent and result-oriented

  • Flexible and open to changes

  • Attention to details

Thông tin khác

  • Salary for 13th month, Bonus & Special Bonus

  • Full of social welfare under Vietnamese Labor Law (Insurance, annual leave, ...)

  • Healthcare for yourself & Your Family

  • Annual travel and team building activities

  • 15-16 annual leave days

  • Company will buy Life Insurance Contract for yourself after 1 year working

  • Training: Trained in soft and technical skills

  • International, challenging, and friendly working environment

Nơi làm việc

  • 149 Nguyen Van Troi, Phu Nhuan, Ho Chi Minh
Chú ý: Toàn bộ thông tin đăng tải thuộc quyền sở hữu của Dai-ichi Life Việt Nam. Chúng tôi chỉ đang cố gắng đưa thông tin nhanh nhất và chính xác nhất tới các bạn. Trường hợp phát hiện có nội dung không chính xác, các bạn có thể thông báo bằng cách liên lạc với chúng tôi qua cửa sổ liên lạc phía dưới-góc phải màn hình.

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