Cinnamon

Overview of job

1. Technology Development (main business)

• Develop client data models and algorithms to apply to data sets.
• Predictive modelling to increase and optimize client experiences, revenue generation and other business outcomes.

2. Requirements Definition & Solution Proposal (main business)

• Boosting client experience by figuring out what their true Goals, Expectations Hidden Requirements are, and make it a reality while considering the technical difficulties
• Identify opportunities for leveraging company data to drive and propose business solutions
• Mine and analyze data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies.

3. Alignment of Technology and Strategic Management

• Cooperate with Project Tech Lead and overseas developers to implement AI technology in projects and products to achieve high quality and meet client needs 
• Manage project and product progress effectively to stick to the delivery schedule

The chance to work on COOL world-class projects!

We’re not an academic research institute. We’re a global AI product company. Our focus is to create applicable AI products which can bring huge impact to users. In order to do so, our solutions is the combination of innovative AI core technology and solid business understanding. There are 3 main categories:

Image Processing

Voice Recognition

Natural Language Processing

How is our working environment?

We strongly believe that go-global ambition requires international-standard members. Cinnamon will create the best environment for all members to grow toward that goal.

#Grit: Ability to stay extremely persistent toward the goal. 
#StretchYouself: Actively learn and take new opportunity in the area of knowledge
and experience that you don’t have before. 
#Leadership-drivenTeamwork: Proactively seek for mutual understanding in any
collaboration.

What we will return
- Salary range is above the market
- Laptop provided. GPU, AWS all be ready for model training
- An open, flexible and collaborative working environment
- Happy Monday, Book Club, English Club, Company Trip, Teambuilding acitivities with free snack and drink
- We mostly focus on talent development
- Knowledge sharing sessions from internal and external Experts
- 1 day off & 3 days working online monthly

Position Required Skills and Experience

• Excellent level of spoken/reading English and Japanese, which you can discuss requirements definition with clients fluently 
• Achievements in Mathematics / Computer Science / Physics / Economics / Engineering / Statistics / Operations Research / Quantitative Social Science, etc. related technical domains
• Proficiency with both Python and R.
• Familiar with statistical modeling software, such as but not limited to SQL databases, Hadoop platform.
• Knowledge of Cloud technologies such as AWS or Google Knowledge of any relational database such as My SQL.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Knowledge of a variety of machine learning techniques
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Ability to visualise/present data for stakeholders; may be using but not limited to: Periscope, Business Objects, D3, ggplot, Tabulo etc.
• Ability to work independently and with team members from different backgrounds.
• Communication skills that enable business development teams to inconsistently discuss complex concepts

Nice to have

• Have high achievements in Data Science / Computer Science / AI / Machine Learning related technical domains (Ph.D, peer-reviewed papers, presentations at international conferences, etc.)
• Proficiency in one or more than one programming languages except Python (C/C++, Java, Golang)
• Knowledge of standard software development process
• Experience with research team management
• Experience working with Japanese clients and datasets
• Furthermore, those who have worked on the following things as much as possible are very suitable for this position
  • Data analysis using statistical libraries and visualization tools such as scipy, pandas, matplotlib, seaborn, etc.
  • Master the database and DataFrame. Using frameworks such as pandas, dask, and modin to handle data from small to large scale
  • Experience of ML on a production scale, such as data pre-processing, training, on-premises and cloud service provision
  • A wealth of experience in classification, clustering, regression, and correlation analysis
  • Experience in large-scale data processing for both structured and unstructured data-Experience in parallel processing