Dai-ichi Life Vietnam

Tóm tắt công việc

• 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

• 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

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