CountryJapan |
CityTokyo |
RemunerationNone |
Data Scientist Internship
As an intern with Manzanita you will work alongside Tokyo's best data scientists, developers and marketers. This team seeks out challenge, and strives to find solutions before others even identify the problem. We think in innovative and creative ways that are reinventing the marketing landscape in Japan and even globally.
With professional guidance, you will learn new coding techniques to implement, optimize, and perfect client campaigns. We will not sit you in front of a screen and ask you to do data entry. You will be doing mission-critical, real-world work from your first day with us, you’re part of the team.
Job Duties
- Analyzing client's consumer database
- Clustering the database using Python
- Combining and synthesizing data across multiple platforms
- Assist on other digital marketing related tasks
- Knowledge of R and Python
- Basics in Data Science and Big Data
- Experience in data analysis with Python or R
Japanese level: JPLT N5 or equivalent (not required but greatly appreciated)
- Data analysis skills
- Mathematical and statistical capabilities
- Outgoing and enthusiastic personality
- Open to immersing yourself in Japanese work culture
- Basic knowledge in deep learning
- Basic knowledge of Tensorflow (or Keras)
-Help for finding housing accommodation in Tokyo
- Resume building
- Internal workshops
- Cultural insights
- Multi-disciplinary online professional learning courses
- As our internships sometimes lead to a full-time opportunity, we more often welcome students currently in their final year of studies.
- We ask our interns a minimum commitment of 3 months.
- Working hours are 9:30am to 6pm Mon- Fri., though it can be flexible for interns.
- We currently do not provide visas for our interns.
To know more about the company, please visit:
https:manzanita.jp/en/
To apply, please include your CV/resume, cover letter explaining your particular interest in Manzanita, and date range that you would like to intern with us.
Applications missing any of the above will not be considered.
Thank you.